18 jobs found

Location: US-MA-Cambridge ID: 2019-1259 # of Openings : 1 Category: Research & Development Address: 650 East Kendall Street Overview Deerfield Management is an investment management firm committed to improving healthcare through investment, information and philanthropy. We have just launched a new company called Civetta Therapeutics located in Cambridge, MA that was founded by William Sellers (Broad Institute and Dana-Farber Cancer Institute) and Eric Fischer (Dana Farber Cancer Institute and Harvard Medical School). We are looking to engage a high-quality team of researchers to advance new medicines through small molecule intervention targeting propeller domains with the goal of developing important therapeutics for cancer and other indications. If you are a talented life sciences professional that can bring significant energy, passion and talent to the team, we welcome the opportunity to consider you for a position in this exciting, new company. About the Founders: William Sellers is a core institute member of the Broad Institute of MIT and Harvard, a faculty member at Harvard Medical School, and faculty member and senior advisor to the president for experimental therapeutics at the Dana-Farber Cancer Institute. Eric Fischer is an Assistant Professor in the Department of Biological Chemistry and Molecular Pharmacology at Harvard Medical School and an Independent Investigator, Dana-Farber Cancer Institute. Responsibilities Key Responsibilities: Design and develop robust SPR assays for essential incorporation to our drug discovery screening cascades Routinely and consistently evaluate small molecules for interaction in multiple biophysical assays Qualifications Required Skills and Qualifications: PhD preferred, with degree of study in biophysics, biochemistry, biology, chemical biology or equivalent 5+ years of pharmaceutical/biotech industry experience in SPR assay development methods in assessing protein-small molecule and protein-protein interactions with consistent, high-quality data analysis and independent troubleshooting Additional experience with other biophysical methods (BLI, MST, ITC) is preferred Familiarity with enzymatic and PPI biochemical assay development a plus Ability to balance multiple projects at different hit triage stages Exceptional communication skills, and ability to effectively present data within the company and to other stakeholders Adept at leading and working within cross-functional scientific teams, and able to work effectively with teams to deliver project data within timelines Strong publication record of biophysical data and analysis in peer-reviewed journals Civetta Therapeutics provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to religion, race, creed, color, sex, sexual orientation, alienage or citizenship status, national origin, age, marital status, pregnancy, disability, veteran or military status, predisposing genetic characteristics or any other characteristic protected by applicable federal, state or local law. PM18 #LI-DNI PI116067314

Location: US-MA-Cambridge ID: 2019-1258 # of Openings : 1 Category: Research & Development Address: 650 East Kendall Street Overview Deerfield Management is an investment management firm committed to improving healthcare through investment, information and philanthropy. We have just launched a new company called Civetta Therapeutics located in Cambridge, MA that was founded by William Sellers (Broad Institute and Dana-Farber Cancer Institute) and Eric Fischer (Dana Farber Cancer Institute and Harvard Medical School). We are looking to engage a high-quality team of researchers to advance new medicines through small molecule intervention targeting propeller domains with the goal of developing important therapeutics for cancer and other indications. If you are a talented life sciences professional that can bring significant energy, passion and talent to the team, we welcome the opportunity to consider you for a position in this exciting, new company. About the Founders: William Sellers is a core institute member of the Broad Institute of MIT and Harvard, a faculty member at Harvard Medical School, and faculty member and senior advisor to the president for experimental therapeutics at the Dana-Farber Cancer Institute. Eric Fischer is an Assistant Professor in the Department of Biological Chemistry and Molecular Pharmacology at Harvard Medical School and an Independent Investigator, Dana-Farber Cancer Institute. Responsibilities Key Responsibilities: Design and develop robust biochemical assays for essential incorporation to our drug discovery screening cascades Routinely and consistently evaluate small molecules for interaction in multiple biochemical assays Qualifications Required Skills and Qualifications: PhD preferred, with degree of study in biochemistry, biology, chemical biology, or equivalent 5+ years of pharmaceutical/biotech industry experience in various biochemical assay development and small molecule high-throughput screening (FRET, FP, AlphaScreen/LISA, ADPGlo, etc) with consistent, high-quality data analysis and independent troubleshooting Familiarity with biophysical techniques (SPR, MST, BLI, ITC, TSA) a plus Ability to balance multiple projects at different hit triage stages Exceptional communication skills, and ability to effectively present data within the company and to other stakeholders Adept at leading and working within cross-functional scientific teams, and able to work effectively with teams to deliver project data within timelines Strong publication record of biochemical/screening data and analysis in peer-reviewed journals Civetta Therapeutics provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to religion, race, creed, color, sex, sexual orientation, alienage or citizenship status, national origin, age, marital status, pregnancy, disability, veteran or military status, predisposing genetic characteristics or any other characteristic protected by applicable federal, state or local law. PM18 #LI-DNI PI116067315

Harvard University EEO Statement We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law. 02-Dec-2019 Bioinformatics Scientist Harvard Medical School 51160BR Job-Specific Responsibilities We are looking for a motivated Computational Biologist to join our interdisciplinary team in the Department of Biomedical Informatics at Harvard Medical School, for an exciting opportunity in building data analysis tools and pipelines for clinical genomics. Genome sequencing is becoming a routine approach for diagnosing genetic diseases, as well as discovering new disease mechanisms. As the number of patients referred to genetic screening is increasing, there is a clear need to build effective solutions to manage their data for clinical applications. The same data also provides opportunities for research and discovery. The Clinical Genomic Analysis Platform (CGAP) at Harvard Medical School is envisioned as scalable research and clinical web-based application for analysis, annotation, visualization, and reporting of genomic data. CGAP is developed by a multidisciplinary team of clinical geneticists, bioinformatics scientists and software engineers. The working environment combines the best features of a startup (fast pace, flexibility, flat hierarchies) with those of one of the leading medical schools (excellent benefits, outstanding opportunities for learning, great resources, brand recognition). CGAP is currently seeking a full-time Bioinformatics Scientist to enhance the analysis of DNA sequencing data for our growing Genomics Program. The scope of this role will include developing, automating, and implementing leading-edge genetic software tools. These tools will facilitate the identification and annotation of disease-causing genetic variants of patients at the clinic. Basic Qualifications Ph.D. in Biology, Bioinformatics, or a related field; or a master's degree and 3 years' experience in Bioinformatics. Technical expertise in genetics, molecular biology, bioinformatics or related field. Strong programming skills. Proficiency in LINUX operating systems and related scripting languages. Proficiency in Python. Experience in high-performance computing, clusters, and cloud computing. Additional Qualifications Experience with software development for healthcare products as well as familiarity with common clinical scenarios, regulatory and quality standards, payer and provider considerations. Research experience in genomics or population genetics. Analysis of high-throughput sequencing data. Software pipeline management. Version Control, in particular Git. AWS environment. Web development. Open-source software development. R, C/C++, Java Additional Information Harvard offers an outstanding benefits package including: Time Off: 3 - 4 weeks paid vacation, paid holiday break, 12 paid sick days, 11.5 paid holidays, and 3 paid personal days per year. Medical/Dental/Vision: We offer a variety of excellent medical plans, dental & vision plans, all coverage begins as of your start date. Retirement: University-funded retirement plan with full vesting after 3 years of service. Tuition Assistance Program: Competitive tuition assistance program, $40 per class at the Harvard Extension School and discounted options through participating Harvard grad schools. Transportation: Harvard offers a 50% discounted MBTA pass as well as additional options to assist employees in their daily commute. Wellness options: Harvard offers programs and classes at little or no cost, including stress management, massages, nutrition, meditation, and complementary health services. Harvard access to athletic facilities, libraries, campus events and many discounts throughout metro Boston. The Harvard Medical School is not able to provide visa sponsorship for this position. Job Function Research Sub Unit ------------ Location USA - MA - Boston Department Biomedical Informatics Time Status Full-time Union 00 - Non Union, Exempt or Temporary Salary Grade 057 Pre-Employment Screening Education, Identity Schedule 35 hrs. per week | Monday - Friday | 9:00 am - 5:00 pm PI116017633

Amgen Job ID: R-89040 Location: Cambridge, MA, US 02139 Additional Location: US - California - Thousand Oaks Amgen is seeking a Sr. Associate - Signal Management to join our team and work from Amgen's beautiful Cambridge, Ma, campus. To learn more about this position: The Signal Management groupis responsible for the direction and strategy for signal detection and risk management activities. It drives policies, research, definition and implementation of innovation and best practices for safety data mining, signal detection planning, management, tracking; risk management practices, benefit/risk assessment and safety communications while ensuring quality processes with proven metrics. This Sr. Associate supports Amgen safety signal management processes and activities reporting to the Safety Management Officer. It supports the continuous improvement to ensure that safety signal management processes reflect regulatory trends and guidelines and represent best in class. Key Activities: Supports Signal Management Process that ensure Amgen is aligned with Global Health Authority regulations regarding signal management practices Monitors compliance in Amgen's internal signal tracking tool. Support creation of signal metrics and reports for management. Supports data mining runs and tracking outputs and signals. Contributes to cross-functional initiatives aimed at development, improvement, standardization and implementation of new processes and methods related to signal detection Supports inspection and audit activities Contribute to the reporting of Performance Indicators for safety agreement terms relevant to vendors and partners Supports cross-functional training activities Undertake activities delegated by the QPPV as detailed in the PV System Master File and maintain a state of inspection readiness Be representative for Health Authority Inspection and Internal Process Audits within the remit of role and responsibility Performs other duties related to the position as necessary as defined in Standard Operating Procedures or as requested by his/her supervisor Basic Qualifications: Master's degree OR Bachelor's degree and 2 years of Scientific, Safety or PV experience Preferred Qualifications: Masters degree in Science, Safety or Public Health Amgen provides a collaborative and creative culture in a company with a strong track record of innovation. Our culture encourages open dialogue and diverse views to land on the best solutions, and we help ensure our staff are equipped to excel today and tomorrow. Amgen focuses on areas of high unmet medical needs and leverages its expertise to strive for solutions that improve health outcomes and dramatically improve people's lives. A biotechnology pioneer since 1980, Amgen has grown to be one of the world's leading independent biotechnology companies, has reached millions of patients around the world and is developing a pipeline of medicines with breakaway potential. Join Us If you're seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of biotechnology with the top minds in the field, you'll find it at Amgen. Amgen, a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancer, kidney disease, rheumatoid arthritis and other serious illnesses. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other but compete intensely to win. Together, we live the Amgen values as we continue advancing science to serve patients. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PI116016735

Harvard University EEO Statement We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law. 25-Nov-2019 Statistical Analyst/Programmer Harvard T.H. Chan School of Public Health 50974BR Job Summary The Center for Biostatistics in AIDS Research (CBAR), an organization within the Harvard T.H. Chan School of Public Health, is responsible for the design, monitoring and statistical analysis of clinical trials and observational studies for several major NIH-funded clinical research networks. CBAR employs over 70 statisticians and epidemiologists including Harvard faculty, research scientists and staff. CBAR researchers have provided statistical leadership and support for clinical research networks for more than twenty-five years. Currently this includes infectious disease networks such as: the Adult AIDS Clinical Trials Groups (ACTG), the International Maternal Pediatric Adolescent AIDS Clinical Trials Network (IMPAACT), and the Pediatric HIV/AIDS Cohort Study (PHACS). Results from studies have helped to establish the paradigm for the treatment and prevention of HIV and other infectious diseases, and contributed to US and international treatment and prevention guidelines. Job-Specific Responsibilities CBAR is looking to hire a Statistical Analyst/Programmer for studies undertaken by the ACTG and/or IMPAACT. This position is responsible for statistical analysis and programming support for clinical trials and observational studies, including all aspects of work from study development through monitoring; interim, primary and secondary analyses; and dissemination of results. The Statistical Analyst/Programmer will work with study protocol teams to further the infectious diseases research mission of CBAR and collaborating researchers. Under guidance of a senior statistician/epidemiologist, duties include, but are not limited to: assisting with statistical analysis and programming activities for individual studies and cross-study efforts; providing statistical programming solutions and ensuring their efficient implementations under supervision and consistent with standard operation procedures; helping to determine and develop approaches to technical solutions; producing accurate and reliable results; maintaining awareness of and familiarity with various risks associated with a study and the impact on the quality of deliverables; managing timelines and scope based on resourcing and priority constraints; and building and maintaining effective working relationships with collaborating researchers and study team members. The Statistical Analyst/Programmer role will: Support development of study case report forms and study registration/randomization materials Undertake programming to create datasets for statistical analyses and document datasets Assist with quality assurance of study data Provide input into the statistical analysis plan and creation of table, figure, and listing specifications, collaborating with the lead biostatistician/epidemiologist in order to provide high quality statistical analyses Undertake programming to create tables and figures for study monitoring and analysis reports, and to undertake statistical analyses to address study research questions Assist with drafting of study analysis reports Work on committees to advance statistical analysis and programming activities in CBAR Other duties as assigned CBAR provides a strong program for growth and professional development for Statistical Analyst/Programmers including a defined career path with opportunities to progress within our biostatistician or statistical programming career tracks. PLEASE NOTE: This position has a term end date of November 30, 2020, with strong possibility for extension. Please attach the following when applying: 1) Resume, 2) Sample of SAS code (solely created by the applicant), and 3) Names and email contact information for three (3) professional references. Basic Qualifications 3+ years of related experience required; a combination of experience and education may be considered Please attach the following when applying: 1) Resume, 2) Sample of SAS code (solely created by the applicant), and 3) Names and email contact information for three (3) professional references. Additional Qualifications BA/BS in a quantitative or scientific field, such as biostatistics, strongly preferred 3+ years of related experience, or experience through education related to statistical software, such as SAS, for managing study data, preparing tables and figures for reports, and for statistical analysis preferred Knowledge of statistical and/or clinical trials preferred Experience programming in Linux, UNIX, or other high-level programming languages preferred Experience with data cleaning preferred Strong attention to detail, as well as a high level of self-motivation, preferred Excellent written and oral communication skills preferred Strong deductive reasoning and organizational skills preferred Additional Information Harvard University requires pre-employment reference checks and background screenings. This position has a 90 day orientation and review period. The Harvard T.H. Chan School of Public Health does not provide visa sponsorship for administrative and staff positions. ---------- The Harvard T.H. Chan of Public Health is dedicated to building a diverse community of individuals who are committed to contributing to an inclusive environment - including fostering respect for all, serving the greater good, and welcoming individuals from diverse backgrounds, experiences, and perspectives. To learn more about the Chan School's mission, objectives, and core values, please visit our website here . Harvard offers an outstanding benefits package including: Time Off: 3- 4 weeks paid vacation, paid holiday break, 12 paid sick days, 11.5 paid holidays, and 3 paid personal days per year. Medical/Dental/Vision: We offer a variety of excellent medical plans, dental & vision plans, all coverage begins as of your start date. Retirement: University-funded retirement plan with full vesting after 3 years of service. Tuition Assistance Program: Competitive tuition assistance program, $40 per class at the Harvard Extension School and discounted options through participating Harvard grad schools. Transportation: Harvard offers a 50% discounted MBTA pass as well as additional options to assist employees in their daily commute. Wellness Options: Harvard offers programs and classes at little or no cost, including stress management, massages, nutrition, meditation and complimentary health services. Harvard access to athletic facilities, libraries, campus events and many discounts throughout metro Boston. Join the Harvard T.H. Chan School of Public Health to support our mission of health research and education, and to be a part of the oldest institution of higher learning in the country! Job Function Information Technology Sub Unit ------------ Location USA - MA - Boston Department Center for Biostatistics in AIDS Research Time Status Full-time Union 55 - Hvd Union Cler & Tech Workers Salary Grade 055 Appointment End Date 30-Nov-2020 Pre-Employment Screening Identity PI115804326

Harvard University EEO Statement We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law. 22-Nov-2019 Bioinformatics Scientist Harvard Medical School 51117BR Job Summary Independently perform complex applications/web development for projects of large to very large size and complexity; typically work as part of a team to implement business solutions. Responsible for all aspects of application development cycle. Code advanced and complex software solutions. Job-Specific Responsibilities We are looking for a motivated Computational Biologist to join our interdisciplinary team in the Department of Biomedical Informatics at Harvard Medical School, for an exciting opportunity in building data analysis tools and pipelines for clinical genomics. Genome sequencing is becoming a routine approach for diagnosing genetic diseases, as well as discovering new disease mechanisms. As the number of patients referred to genetic screening is increasing, there is a clear need to build effective solutions to manage their data for clinical applications. The same data also provides opportunities for research and discovery. The Clinical Genomics Analysis Platform (CGAP) at Harvard Medical School is envisioned as scalable research and clinical web-based application for analysis, annotation, visualization, and reporting of genomic data. CGAP is developed by a multidisciplinary team of clinical geneticists, bioinformatics scientists and software engineers. The working environment combines the best features of a startup (fast pace, flexibility, flat hierarchies) with those of one of the leading medical schools (excellent benefits, outstanding opportunities for learning, great resources, brand recognition). CGAP is currently seeking a full-time Bioinformatics Scientist to enhance the analysis of DNA sequencing data for our growing Genomics Program. The scope of this role will include developing, automating, and implementing leading-edge genetic software tools. These tools will facilitate the identification and annotation of disease-causing genetic variants of patients at the clinic. Typical Core Duties Participate fully in software development life cycle Implement and support technical solutions to deliver business requirements Identify and evaluate opportunities to improve services Contribute ideas to coding best practices and new technologies Draw on relationship and technical skills to act as technical liaison to internal and external clients Abide by and follow the Harvard University IT technical standards, policies and Code of Conduct Basic Qualifications Minimum of two years' post-secondary education and/or relevant work experience Additional Qualifications Ph.D. in Biology, Bioinformatics, or a related field; or a master's degree and 3 years' experience in Bioinformatics. Technical expertise in genetics, molecular biology, bioinformatics or related field. Strong programming skills. Proficiency in LINUX operating systems and related scripting languages. Proficiency in Python. Experience in high-performance computing, clusters, and cloud computing. Minimum two years' additional post-secondary education and/or relevant work experience Knowledge of information technology applications, processes, software and equipment Demonstrated team performance skills, service mindset approach, and the ability to act as a trusted advisor Experience with software development for healthcare products as well as familiarity with common clinical scenarios, regulatory and quality standards, payer and provider considerations. Research experience in genomics or population genetics. Analysis of high-throughput sequencing data. Software pipeline management. Version Control, in particular Git. AWS environment. Web development. Open-source software development. R, C/C++, Java Certificates and Licenses Completion of Harvard IT Academy specified foundational courses (or external equivalent) preferred Working Conditions Work is performed in an office setting Additional Information Harvard offers an outstanding benefits package including: Time Off: 3 - 4 weeks paid vacation, paid holiday break, 12 paid sick days, 11.5 paid holidays, and 3 paid personal days per year. Medical/Dental/Vision: We offer a variety of excellent medical plans, dental & vision plans, all coverage begins as of your start date. Retirement: University-funded retirement plan with full vesting after 3 years of service. Tuition Assistance Program: Competitive tuition assistance program, $40 per class at the Harvard Extension School and discounted options through participating Harvard grad schools. Transportation: Harvard offers a 50% discounted MBTA pass as well as additional options to assist employees in their daily commute. Wellness options: Harvard offers programs and classes at little or no cost, including stress management, massages, nutrition, meditation, and complementary health services. Harvard access to athletic facilities, libraries, campus events and many discounts throughout metro Boston. The Harvard Medical School is not able to provide visa sponsorship for this position. Job Function Information Technology Sub Unit ------------ Location USA - MA - Boston Department Biomedical Informatics Time Status Full-time Union 00 - Non Union, Exempt or Temporary Salary Grade 057 Pre-Employment Screening Education, Identity Schedule 35 hrs. per week | Monday - Friday | 9:00 am - 5:00 pm PI115773778

Tufts University Tufts University is an AA/EO employer and actively seeks candidates from diverse backgrounds. Please see the Tufts University non-discrimination statement. Job Description Senior Research Technician - Department of Immunology, School of Medicine - 19002052 Description This is a limited term position ending September 30, 2022. The Department of Immunology is a department at Tufts Medical School that is at an exciting stage of development. It is our goal to become a world-class center for the study of inflammation and immune mediated disease processes that will coordinate and develop research efforts in this area across the Medical School. In the coming years the department will be expanding with new faculty, whose primary focus is the role of inflammation in a range of chronic diseases. The current strength of the department lies with an integrated faculty interested in understanding how immunological, physiological and metabolic pathways interact to produce dysregulated innate and adaptive host responses in a wide array of diseases. These include autoimmune disorders, cardiovascular diseases, arthritis, infectious diseases, cancer and obesity. An essential translational aspect of the department-wide research effort will be the targeted development of novel therapeutics for both treatment and prevention of immune-mediated diseases. Conducts a variety of routine and specialized laboratory experiments with accuracy. Performs specialized techniques and makes decisions regarding the appropriate protocol or procedure necessary to achieve desired results, the reliability and accuracy of results, and whether modification or repetition is necessary. Records test results and analyze data derived from experiments. Qualifications Basic Requirements Bachelor’s degree in science and at least one year of related laboratory experience Preferred Qualifications: Advanced knowledge and experience with laboratory techniques and procedures Knowledge of basic statistics An employee in this position must complete all appropriate background checks at the time of hire, promotion, or transfer. Primary Location: United States-Massachusetts-Boston Job: Research Organization: Department of Immunology Employee Status: Limited Appointment Schedule: Full-time Job Posting: Nov 22, 2019, 3:05:07 PM PI115773377

Amgen Job ID: R-88259 Location: Cambridge, MA, US 02139 Amgen is seeking a Sr Associate Scientist to join our team and work from Amgen's beautiful Cambridge, MAcampus. Synthetics Attribute Sciences Key Responsibilities: A largely laboratory-based position where focus will be on driving cutting-edge analytical support and technology development impacting process and product development teams across Amgen's portfolio. The role requires collaboration with organic chemists and formulators to establish the end to end analytical control strategies of drug substance and drug product, respectively. The Sr. Associate Scientist will use state-of-the-art techniques such as UHPLC, HRMS, LC-MS, GC, GC-MS, and dissolution technologies to solve complex problems and advance projects. Work cross-functionally and across Process Development and external sites while using analytical science to help drive efficient development and scalable understanding of processes and products in Amgen's pipeline Basic Qualifications: Master's degree and 3 years of Scientific experience OR Bachelor's degree and 5 years of Scientific experience Preferred Qualifications : Bachelor's degree in Analytical Chemistry, Physical, Pharmaceutical, Life Sciences or Engineering Training and expertise in analytical method development and organic chemistry or formulation development 4+ year's in the pharmaceutical or biotech industry Hands on experience with techniques such as chromatography (High- Performance Liquid Chromatography: HPLC and Gas Chromatography: GC), Raman spectroscopy, Inductively-Coupled Plasma (ICP), particle size determination, dissolution, high resolution mass spectrometry (HRMS), NMR, Fourier Transform Infrared (FTIR), Karl Fischer water content testing, etc. Demonstrated ability to analyze and interpret analytical data Experience in solid-state characterization techniques including X-Ray Powder Diffraction (XRPD) and solid-state Nuclear Magnetic Resonance (NMR) Demonstrated active involvement in scientific outreach (e.g. publication record in peer-reviewed journals) Strong technical aptitude for the identification, development, and implementation of novel analytical technologies Strong understanding, research in, and hands-on experience with analytical techniques, structure elucidation and solid-state characterization guided and informed by knowledge of organic chemistry Familiarity with automation and implementing data management systems; ability to compile and communicate complex datasets in a manner in which facilitates informed decision-making Excellent written and oral communication skills for the timely documentation, presentation, and discussion of scientific results in a fast-paced, multi-disciplinary, team-based environment Strong abilities in trouble-shooting, problem solving, and multi-tasking in support of process chemistry and formulation efforts at the pivotal phase of development Join Us If you're seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of biotechnology with the top minds in the field, you'll find it at Amgen. Amgen, a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancer, kidney disease, rheumatoid arthritis and other serious illnesses. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other but compete intensely to win. Together, we live the Amgen values as we continue advancing science to serve patients. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PI115671522

Amgen Job ID: R-88256 Location: Cambridge, MA, US 02139 Amgen is currently seeking a Scientist - Analytical Chemist in our Pivotal Attribute Sciences Department in Cambridge, MA. This group is responsible for pivotal phase analytical development, including method development, method validation, method transfer, process and product development support, and GMP testing of early phase drug substances and drug products. The Scientist will work closely with a team of analytical chemists, organic chemists and formulators responsible for the technical aspects of developing the analytical tools to gain understanding of key attributes for synthetic manufacturing processes and synthetic products. The Scientist will integrate and successfully utilize platform and prior product knowledge to advance Amgen practices and ensure success from FIH study through to marketing application. Key Responsibilities: •Define analytical control strategies and implement methodologies for development of pivotal phase clinical programs. •Collaborate closely with drug substance and drug product process development colleagues. •Manage activities at contract manufacturing and testing sites. •May lead and develop a small group of scientists. Basic Qualifications: Doctorate degree OR Master's degree and 4 years of scientific experience OR Bachelor's degree and 6 years of scientific experience Preferred Qualifications: •PhD in Analytical Chemistry, Organic Chemistry, Materials Science, Biochemistry, Biochemical or Chemical Engineering •2+ year's post-PhD experience in the pharmaceutical or biotech industry in process and product development and drug substance and drug product analytical method development. •Strong understanding of small molecule analysis, structure elucidation and solid-state characterization guided and informed by knowledge of organic chemistry. •Experience in a wide variety of structure elucidation and physicochemical techniques including mass spectrometry, UV, NMR, FTIR, chromatography, particle size determination, crystal characterization, etc. •Developing and implementing methods for in-process testing, release and stability testing. •Experience in analytical testing requirements for immediate release and controlled release oral solid dosage drug products. •Familiarity with USP monographs and chapters, and ICH/FDA guidance documents related to analytical method transfer and validation, impurities, mutagenic impurities, etc. •Solid understanding of GLP and GMP requirements and their application in a phase appropriate manner •Experience in technical transfer for non-GMP and GMP production and testing to external contract organizations, able to manage deliverables against timelines •Strong communication skills and ability to provide cross-functional leadership and guidance to CMC and non-clinical teams, e.g. informing and defending the Quality Target Product Profile •Works well in cross-functional teams, and across various geographic locations in different time zones •Excellent technical writing skills and attention to details in authoring methods, specifications, technical reports and regulatory filing documents Join Us If you're seeking a career where you can truly make a difference in the lives of others, a career where you can work at the absolute forefront of biotechnology with the top minds in the field, you'll find it at Amgen. Amgen, a biotechnology pioneer, discovers, develops and delivers innovative human therapeutics. Our medicines have helped millions of patients in the fight against cancer, kidney disease, rheumatoid arthritis and other serious illnesses. As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other but compete intensely to win. Together, we live the Amgen values as we continue advancing science to serve patients. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. PI115671541

Harvard University EEO Statement We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law. 19-Sep-2019 Senior Staff Scientist - Machine Learning Harvard Medical School 50500BR Job-Specific Responsibilities The Wyss Institute for Biological Inspired Engineering is looking for a Senior Staff Scientist with extensive experience in machine learning, deep learning, and big data analysis to join our emerging Machine Intelligence and Data Analytics group, under the direction of Wyss leadership and faculty. This individual will work closely with experimental collaborators at the institute to effectively support their needs for data processing and interpretation, as well as developing strong relationships with the business development and technology translation teams. They will use computational approaches to integrate results from diverse high-throughput assay types, build predictive models for biomedicine applications including but not limited to electronic medical record mining, medical devices, drug discovery, and disease biology. This individual will participate in procuring funding opportunities for the institute, from public or private sources, writing research proposals and reports to funding agencies, providing critical data, figures or information for grant and patent submissions; will write and collaborate with faculty and other researchers on manuscripts, abstracts, and other publications of research findings; will interact regularly with Core and Associate Institute faculty and Institute staff; will present research results at Wyss internal and external meetings. They will train others on research methodology as well as the tools and approaches used to perform the research and collect, and will analyze and present the data to the research team and collaborators. Basic Qualifications A Master's degree in computer science, bioinformatics, statistics, mathematics, or related field is required. A minimum of 5 years of experience working with a common scripting language and deep learning technologies (Keras, TensorFlow, PyTorch) required. Doctorate degree in a related field may count towards years of experience. Additional Qualifications A PhD in computer science, bioinformatics, statistics, mathematics or related field preferred. Experience with R/Bioconductor as a user and package developer is preferred. Highly fluent in machine learning models and applications including natural language processing, convolutional neural networks, vector embedding, LSTM architectures, dimensionality reduction. Experience with version controls systems required(git, svn). Familiarity with high performance computing and cloud computing. Fluency in biology is a plus. Experience in technology translation and business development is desirable. Excellent written and oral communication skills. Strong organizational skills. Highly motivated and goal oriented, should have the ability to work in a fast-paced environment. This individual will have high visibility within the Institute and is expected to engage, maintain, and foster strong relationships with faculty across the institute and partner institutions, as well as with industry leaders and venture capital partners. Additional Information This is a one-year term position with the possibility of renewal. The mission of the Wyss Institute for Biologically Inspired Engineering at Harvard University is to transform human healthcare and the environment by emulating the way nature builds. Developed as an alliance between Harvard and other premier academic and clinical partner institutions, Institute faculty and staff collaborate in high-risk, fundamental research and science-driven technology development. A major focus of the Institute is to translate the technologies developed by its faculty and staff into commercial products and therapies through collaborations with clinical investigators and establishment of corporate alliances and launching startup companies. For more information, visit: http://wyss.harvard.edu/ . Harvard offers an outstanding benefits package including: Time Off: 3 - 4 weeks paid vacation, paid holiday break, 12 paid sick days, 11.5 paid holidays, and 3 paid personal days per year. Medical/Dental/Vision: We offer a variety of excellent medical plans, dental & vision plans, all coverage begins as of your start date. Retirement: University-funded retirement plan contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service. Tuition Assistance Program: Competitive tuition assistance program, $40 per class at the Harvard Extension School and discounted options through participating Harvard grad schools. Transportation: Harvard offers a 50% discounted MBTA pass as well as additional options to assist employees in their daily commute. Wellness options: Harvard offers programs and classes at little or no cost, including stress management, massages, nutrition, meditation and complimentary health services. Harvard access to athletic facilities, libraries, campus events and many discounts throughout metro Boston. Job Function Research Sub Unit Wyss Institute Location USA - MA - Boston Department Wyss Institute Time Status Full-time Union 00 - Non Union, Exempt or Temporary Salary Grade 057 Pre-Employment Screening Education, Identity Schedule Monday through Friday, 9am - 5pm PI115666574

Harvard University EEO Statement We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law. 02-Oct-2019 Staff Scientist - Tissue and Organ Regeneration Harvard Medical School 50647BR Job-Specific Responsibilities The Wyss Institute seeks a talented energetic professional to join our community as a Staff Scientist in the field of Tissue and Organ Regeneration. This entrepreneurially minded individual will work closely with Wyss Faculty and act as an intellectual ‘bridge' scientist, who will bring both tissue engineering bench expertise and industry / startup experience in product development to the table, and combine these strengths to drive basic science findings from your future colleagues at Harvard, MIT, and Boston University into pre-clinical animal models, and eventually to patients. The Staff Scientist will lead and participate in ongoing initiatives towards the goal of whole organ bioengineering at the Wyss Institute. With strong technical guidance from leaders in the field of 3D Organ Engineering, the Staff Scientist will develop and perform a broad range of research activities and procedures demonstrating speed, precision, and an excellent understanding of the theory behind these techniques and collaborate closely with junior postdocs and staff members of the team. This position is an exciting opportunity to combine cutting edge hands-on research with the strategic considerations of technology translation and product development. The Staff Scientist will work closely with colleagues in related functions at the Wyss Institute and the Office of Technology Development at Harvard University. Responsibilities include: Assist in the development of large-scale organ-specific tissues, while working with a multi-disciplinary team that includes technical, clinical, and development collaborators. Design, engineer, and iterate organ-specific constructs based on insights gleaned from collaborating team members who are focused on identifying cell-cell, cell-matrix, and soluble/circulating factors that influence tissue growth and function, with the aim of producing translationally-relevant model systems that enable pre-clinical testing. Contribute to the isolation and/or maintenance of primary and/or stem cell-derived cell populations. Candidate must have experience with mammalian cell culture and aseptic technique. Design and conduct implantation experiments in appropriate animal models. Monitor and analyze organ-specific tissues during in vitro and in vivo expansion, including preparation and handling, collection and analysis of pre- and post-expanded cell populations/tissues, and functional assessment of tissue output. Manage scientific and technical activities across this effort, including interactions with the involved labs based at Harvard, MIT, and BU and their researchers and trainees. Develop experimental plans and successfully execute research timelines to meet translation goals and milestones, both independently and as a daily manager of a small team. Provide in-depth expertise and hands-on experience in developing functional assays. Implement quantitative in vitro assays for evaluating tissue functionality, stability, and safety. Develop and standardize organ-specific tissue manufacturing and surgical protocols for in vivo studies in small and large animals. Participate in writing research proposals, reports, patent applications, presentations and publications, providing critical data, figures or information for grant and patent submissions. Basic Qualifications Advanced degree in a biological science, bioengineering, or related discipline, with a strong understanding of cell biology, physiology, and/or tissue engineering. A minimum of 7 years of related experience. Additional Qualifications Ph.D. in biological science, bioengineering or related discipline strongly preferred. Demonstrates a broad theoretical and practical knowledge within the fields of biofabrication, tissue engineering, and cell biology. Exhibits a good understanding of technology translation and product development with the ultimate goal of product commercialization. Strong scientific track record demonstrating well-organized design and execution of studies. Extensive experience with in vivo and in vitro tissue engineering, characterization, and implantation. Demonstrated success in leading and working in cross-functional teams. Comfortable in a fast-paced translational environment and able to adjust workload based upon changing priorities. Flexible and cooperative sprit with strong commitment to collaboration and team efforts. Strong oral and written communication skills, with a habit of paying significant attention to detail. Additional Information The mission of the Wyss Institute for Biologically Inspired Engineering at Harvard University is to transform human healthcare and the environment by emulating the way nature builds. Developed as an alliance between Harvard and other premier academic and clinical partner institutions, Institute faculty and staff collaborate in high-risk, fundamental research and science-driven technology development. A major focus of the Institute is to translate the technologies developed by its faculty and staff into commercial products and therapies through collaborations with clinical investigators and establishment of corporate alliances and launching startup companies. For more information, visit: http://wyss.harvard.edu/ . Harvard offers an outstanding benefits package including: Time Off: 3 - 4 weeks paid vacation, paid holiday break, 12 paid sick days, 11.5 paid holidays, and 3 paid personal days per year. Medical/Dental/Vision: We offer a variety of excellent medical plans, dental & vision plans, all coverage begins as of your start date. Retirement: University-funded retirement plan contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service. Tuition Assistance Program: Competitive tuition assistance program, $40 per class at the Harvard Extension School and discounted options through participating Harvard grad schools. Transportation: Harvard offers a 50% discounted MBTA pass as well as additional options to assist employees in their daily commute. Wellness options: Harvard offers programs and classes at little or no cost, including stress management, massages, nutrition, meditation and complimentary health services. Harvard access to athletic facilities, libraries, campus events and many discounts throughout metro Boston. Job Function Research Sub Unit Wyss Institute Location USA - MA - Boston Department Wyss Institute Time Status Full-time Union 00 - Non Union, Exempt or Temporary Salary Grade 058 Pre-Employment Screening Education, Identity Schedule Monday through Friday, 9am - 5pm. PI115666041

Harvard University EEO Statement We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law. 17-Oct-2019 Data Scientist, Media Manipulation Harvard Kennedy School 50263BR Job-Specific Responsibilities The Technology and Social Change Research Project at Harvard Kennedy's Shorenstein Center is looking for an experienced technologist to extend researchers' ability to study sociotechnical systems at scale. You will contribute to a cross-institutional team of scientists, analysts and engineers to develop the next generation of theory and methods to study media manipulation and the information ecosystem. Under the advisement of the Director of the Technology and Social Change Research Project, you will conceptualize, build, and maintain the Global Media Manipulation Case book (GMMCB) with a team of others. You listen to qualitative researchers and can translate case studies into large-scale data analysis. Conversely, you can identify, isolate, and quantify case studies hidden within metadata. You are enthusiastic about the promises of machine learning and critical of the flaws encoded in training sets. You are not afraid to dig into literature, stackoverflow comments, and textbooks to prevent repeating work. We don't have the same resources as Google, but we have unique questions and novel datasets. You understand that certain questions warrant sophisticated approaches, however you are pragmatic and will start with the simplest approach first. You take the time to map out systems and experiments before you touch your text editor. We are a people first institution. We will arrange mentorship and peership to help shape your questions, execute your ideas, and nurture your career. You will have the opportunity to attend conferences and workshops as a speaker and as a participant. You value clear and honest communication, and value the contributions and expertise of qualitative colleagues. You fine-tune your understanding of the world. You draw upon established methods from computer vision and natural language processing to encode, contextualize and communicate data. You are question-driven, love to tinker, and a thoughtful problem solver. You will use a modern data science toolkit to manage multi-terabyte databases, build data pipelines, preprocess data, evaluate machine learning models, analyze networks, and produce meaningful data visualizations. The data scientist will collaborate with other scientists and data engineers and be responsible for designing, implementing and maintaining scalable software to transform and integrate large complex datasets into a reliable data infrastructure that can produce high quality data. Additionally, they will conduct data analyses, synthesize and apply relevant extant research, and develop and implement new learning technologies aligned with Harvard's core teaching and learning mission. You will have ample opportunity for career growth, with a discretionary budget to attend conferences, lead researcher trainings, and receive mentorships from the thought leaders of your field. You will be given the opportunity to participate fully in the research environment, including authoring papers and open source software, attending conferences and seminars, and working closely with a broad group of researchers associated with the Global Media Manipulation Case Book. Basic Qualifications Bachelor's Degree required along with 3 plus years of work experience required in a lab or research organization Experience with Python, data analysis tools (Pandas, Matplotlib, NumPy, Scikit-Learn), Linux/ Unix, relational (mySQL, postgres) databases, and Git Experience collecting, cleaning and analyzing data sets through APIs and webscraping Experience working with qualitative and quantitative teams Professional work experience with relational databases required Additional Qualifications Practical Machine Learning Experience with computer vision (deep learning frameworks like TensorFlow, PyTorch). Analyzing social media data Curiosity of Internet subcultures Experience with cloud storage and computing instances (AWS) Contributions to open source software Additional Information This is a fully benefits-eligible term appointment ending on June 30, 2020, with the possibility of renewal . We regret that the Harvard Kennedy School does not provide Visa Sponsorship. Harvard University requires pre-employment references and background checks. Harvard University is committed to supporting a healthy, sustainable learning and working environment. Job Function Information Technology, Research Sub Unit ------------ Location USA - MA - Cambridge Department Shorenstein Center for Media Politics and Public Policy Time Status Full-time Union 00 - Non Union, Exempt or Temporary Salary Grade 057 Pre-Employment Screening Education, Identity PI115665157

Harvard University EEO Statement We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law. 07-Nov-2019 Senior Staff Scientist - Diagnostic Accelerator Harvard Medical School 50958BR Job Summary The Wyss Institute seeks a talented energetic professional to join our community as a Senior Staff Scientist as part of the newly established Diagnostic Accelerator Team. This entrepreneurially minded individual will work closely with Wyss Faculty and act as an intellectual ‘bridge' scientist, who will bring both biomarker development expertise and industry / startup experience in product development for diagnostics. The successful candidate will combine these strengths to translate basic science findings from your future colleagues at Harvard, MIT, other Boston area Universities and the Hospitals into robust diagnostic tools that enable improved clinical decision-making. The Senior Staff Scientist will be part of the Advanced Technology Team and will serve as a team lead in the area of Diagnostics. They will participate in and lead projects that combine cutting-edge biomarker identification technology with clinician input and feedback, fostering wide-ranging collaborations toward new diagnostics development. This position is an exciting opportunity to align hands-on research with the strategic considerations of technology translation and product development in a formal partnership between the Wyss Institute and Brigham's and Women's Hospital. The Senior Staff Scientist will also play an integral role in developing intellectual property, market access and business strategies and will work closely with colleagues in related functions at the Wyss Institute and the Office of Technology Development at Harvard University. Job-Specific Responsibilities Responsibilities include: Serves as thought leader in the identification of new meaningful biomarkers for the development of diagnostics, working with a multi-disciplinary team that includes technical, clinical, and development collaborators. Identify and procure new instrumentation to facilitate biomarker discovery. Contribute to the identification of clinical needs and foster the development of important collaborations in the development of highly innovative diagnostic tools. Leads the development of robust diagnostic technology that meets validation requirements as determined by a cross-functional technical team as well as clinical advisors. Design diagnostic tools that facilitate clinical decision making taking into consideration daily clinical practice, hospital logistics and market access. Demonstrate an advanced understanding of phase appropriate product development milestones in accordance with technical and commercialization goals. Work with hospital personnel to transfer validated technology into a central lab setting in accordance with GLPs. Participate in writing collaboration proposals, research and development reports, patent applications, presentations and publications, providing critical data, figures or information for grant and patent submissions. Collaborate in the development of intellectual property and business strategies providing strong product development and end-user focus to the team. Oversees a team of Wyss Researchers in the area of diagnostics. In conjunction with core faculty, heads the proposal development, oversees the team projects and allocates the budget. In conjunction with core faculty, engages with industry partners on both strategic initiatives and funding opportunities. Basic Qualifications Masters' degree in a biological science, bioengineering, or related discipline A minimum of 9 years experience working with biomarker identification technology, diagnostics, or related field required; A PhD may count towards years of experience Work experience must include a minimum of 3 years full time post -graduate industrial experience with a focus on product development. Additional Qualifications PhD in biological science, bioengineering or related discipline strongly preferred. Possess a strong understanding of the full scope of requirements for introducing a new clinical diagnostic test to the clinic and marketplace. Demonstrates a broad theoretical and practical knowledge within the fields biomarker identification, clinical translation and diagnostics design. Exhibits a good understanding of technology translation and product development with the ultimate goal of product commercialization. Strong scientific track record demonstrating well-organized design and execution of studies. Demonstrated success in leading and working in cross-functional teams. Experience with project budget planning. Comfortable in a fast-paced translational environment and able to adjust workload based upon changing priorities. Flexible and cooperative spirit with strong commitment to collaboration and team efforts. Strong oral and written communication skills, with a habit of paying significant attention to detail. Additional Information Offer contingent on successful completion of pre-placement medical evaluation. The mission of the Wyss Institute for Biologically Inspired Engineering at Harvard University is to transform human healthcare and the environment by emulating the way nature builds. Developed as an alliance between Harvard and other premier academic and clinical partner institutions, Institute faculty and staff collaborate in high-risk, fundamental research and science-driven technology development. A major focus of the Institute is to translate the technologies developed by its faculty and staff into commercial products and therapies through collaborations with clinical investigators and establishment of corporate alliances and launching startup companies. For more information, visit: http://wyss.harvard.edu/ . Harvard offers an outstanding benefits package including: Time Off: 3 - 4 weeks paid vacation, paid holiday break, 12 paid sick days, 11.5 paid holidays, and 3 paid personal days per year. Medical/Dental/Vision: We offer a variety of excellent medical plans, dental & vision plans, all coverage begins as of your start date. Retirement: University-funded retirement plan contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service. Tuition Assistance Program: Competitive tuition assistance program, $40 per class at the Harvard Extension School and discounted options through participating Harvard grad schools. Transportation: Harvard offers a 50% discounted MBTA pass as well as additional options to assist employees in their daily commute. Wellness options: Harvard offers programs and classes at little or no cost, including stress management, massages, nutrition, meditation and complimentary health services. Harvard access to athletic facilities, libraries, campus events and many discounts throughout metro Boston. Job Function Research Sub Unit Wyss Institute Location USA - MA - Boston Department Wyss Institute Time Status Full-time Union 00 - Non Union, Exempt or Temporary Salary Grade 059 Pre-Employment Screening Criminal, Education, Identity Schedule Monday through Friday, 9am - 5pm PI115663326

Harvard University EEO Statement We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law. 19-Nov-2019 Staff Scientist - Stem Cell Engineering Harvard Medical School 51071BR Job Summary The Wyss Institute for Biologically Inspired Engineering at Harvard University seeks a talented, enthusiastic, and experienced individual to work as part of the Synthetic Biology platform in the Advanced Technology Team. This position is an exciting opportunity to combine cutting edge, hands-on research with the strategic considerations of technology translation and product development. They will be responsible for developing technology relating to gene editing and engineering of stems cells and tissue-like structures/organoids. With an initial emphasis towards cerebral organoids, the individual will focus both on improving methodology for the creation of organoids as well as pursuing new commercial applications of them. Examples of methodology improvement are: Increasing the cell diversity within organoids Improving the recapitulation of disease phenotypes Decreasing culture time Creating new assembled combinations of organoids Incorporating cellular sensors and actuators such as calcium sensors and/or opsins Examples of applications are: Creating new drug screens Developing therapeutic implants for regenerative medicine Creating improved brain computer interfaces using hybrid organic/inorganic devices Creating ex vivo circuit models to help create brain-based machine learning algorithms Job-Specific Responsibilities Reporting to the Lead Senior Staff Scientist of the Synthetic Biology Platform, the candidate will perform laboratory research as well as apply their product development expertise to assist in the identification of translatable research directions. They will work in a dynamic, interdisciplinary team comprised of chemists, biologists and engineers. The candidate will be expected to be a technical expert in their specialized area and will also keep abreast of emerging industry trends and apply industry best practices as appropriate. The Staff Scientist will also play an integral role in developing intellectual property, market access and business strategies and will work closely with colleagues in related functions at the Wyss Institute and the office of Technology Development at Harvard University. The candidate will mentor and direct junior staff to clearly defined product development goals and end-user needs. They will apply project management experience to outline milestones, manage project plans and budgets. Additionally, the candidate will work closely with business development on interactions with potential investors, partners, collaborators or agencies. Basic Qualifications Master's degree in bioengineering or related discipline, with a strong understanding of cell biology, next generation sequencing, and/or gene editing techniques. A minimum of six years of related experience required. A PhD may count towards years of experience. Prior experience must include at least 3 years of full time post-graduate industrial experience with focus on product development. Additional Qualifications PhD in biological science, bioengineering or related discipline strongly preferred. Have the capacity to work with high urgency such as on milestone driven projects. Experience with working with stem cell culture, ideally iPSCs. A product development mindset with an understanding of technology translation. Knowledge of neurodevelopment, neurophysiology, and cerebral organoids preferred but not required. Additional Information Offer contingent on successful completion of pre-placement medical evaluation. The mission of the Wyss Institute for Biologically Inspired Engineering at Harvard University is to transform human healthcare and the environment by emulating the way nature builds. Developed as an alliance between Harvard and other premier academic and clinical partner institutions, Institute faculty and staff collaborate in high-risk, fundamental research and science-driven technology development. A major focus of the Institute is to translate the technologies developed by its faculty and staff into commercial products and therapies through collaborations with clinical investigators and establishment of corporate alliances and launching startup companies. For more information, visit: http://wyss.harvard.edu/ . Harvard offers an outstanding benefits package including: Time Off: 3 - 4 weeks paid vacation, paid holiday break, 12 paid sick days, 11.5 paid holidays, and 3 paid personal days per year. Medical/Dental/Vision: We offer a variety of excellent medical plans, dental & vision plans, all coverage begins as of your start date. Retirement: University-funded retirement plan contributions from 5% to 15% of eligible compensation, based on age and earnings with full vesting after 3 years of service. Tuition Assistance Program: Competitive tuition assistance program, $40 per class at the Harvard Extension School and discounted options through participating Harvard grad schools. Transportation: Harvard offers a 50% discounted MBTA pass as well as additional options to assist employees in their daily commute. Wellness options: Harvard offers programs and classes at little or no cost, including stress management, massages, nutrition, meditation and complimentary health services. Harvard access to athletic facilities, libraries, campus events and many discounts throughout metro Boston. Job Function Research Sub Unit Wyss Institute Location USA - MA - Boston Department Wyss Institute Time Status Full-time Union 00 - Non Union, Exempt or Temporary Salary Grade 058 Pre-Employment Screening Education, Identity Schedule Monday through Friday, 9am - 5pm PI115661888

Harvard University EEO Statement We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions, or any other characteristic protected by law. 28-Oct-2019 Research Scientist Harvard Medical School 50857BR Job-Specific Responsibilities We are a team of research scientists in the Harvard Medical School Department of Neurobiology dedicated to repurposing natural mechanisms of gene regulation to engineer precision viral vectors for gene therapy. We employ PESCA, a single-cell screening platform developed in-house, to sift through the mammalian genome and identify -- on-demand -- regulatory elements capable of driving optimal patterns of viral transgene expression to address a wide range of diseases. We believe that such elements are transformative and essential technologies in the world of gene therapy and that our approach and expertise uniquely position us at the forefront of next-generation viral vector design. Our collective mission is to employ these elements to create novel viral vectors that unlock the potential of gene therapy to cure genetic diseases with severe unmet need. We are recruiting a full-time Research Scientist to join our team, whose primary responsibility will be to collaboratively develop and then drive multiple iterations of the PESCA pipeline simultaneously while keeping progress within projected timelines. Day-to-day responsibilities include supervising and managing 2-3 pre-doctoral research assistants (RAs), as well as interpreting and troubleshooting the RAs' experimental results, to ensure continued progress on all projects. The work will involve the application of cutting-edge technologies such as single-cell RNA-seq and ATAC-seq, and interested applicants should be sufficiently experienced in wet lab work that they can capably perform all steps of the PESCA pipeline, so as to advise RAs efficiently. The advertised position will also entail coordinating new and existing high- budget commercial partnerships and high-level multitasking to keep these simultaneously ongoing projects on track. To these ends, we are seeking highly motivated individuals with strong scientific backgrounds, capable of efficient experimental planning, delegation, and management, who are excited by the prospect of pushing multiple projects to completion simultaneously in a fast-paced academic setting. The position will report directly to our core group of scientific leadership, offering a unique opportunity to play a lead role in developing promising new viral vectors of high therapeutic potential as part of a dynamic research group within the highly collaborative scientific environment that is the HMS Department of Neuroscience. Basic Qualifications Ph.D. in biological sciences; 5+ years of related hands-on wet lab experience. Additional Qualifications Interested individuals should be capable of performing any experiment in the PESCA pipeline, although the need should rarely arise as research assistants will perform the majority of bench experiments: * Next-generation sequencing and library preparation (ATAC-seq, scRNA-seq, snRNA-seq) * Molecular biology techniques including PCR, RT-PCR, ddPCR, and cloning * Sequence design (Oligo/primer/gBlock) and analysis (Benchling, Snapgene, APE, etc.) * Mouse colony maintenance * Strong organizational and documentation skills Good time management and rigorous scheduling, as all projects must progress simultaneously. 3+ years managing multiple high-budget projects, in industry or academic setting. Good interpersonal and collaborative skills, to maintain a friendly but professional working environment. Strong scientific communication skills, to keep project supervisors informed Strong presentation skills, to present data to academic and industry collaborators Familiarity with Python and R. Background in gene therapy or clinically relevant fields. Additional Information This is a 12-month term appointment with the possibility of renewal contingent on funding. Offer contingent upon successful completion of a pre-placement medical evaluation. Harvard offers an outstanding benefits package including: Time Off: 3 - 4 weeks paid vacation, paid holiday break, 12 paid sick days, 11.5 paid holidays, and 3 paid personal days per year. Medical/Dental/Vision: We offer a variety of excellent medical plans, dental & vision plans, all coverage begins as of your start date. Retirement: University-funded retirement plan with full vesting after 3 years of service. Tuition Assistance Program: Competitive tuition assistance program, $40 per class at the Harvard Extension School and discounted options through participating Harvard grad schools. Transportation: Harvard offers a 50% discounted MBTA pass as well as additional options to assist employees in their daily commute. Wellness options: Harvard offers programs and classes at little or no cost, including stress management, massages, nutrition, meditation, and complementary health services. Harvard access to athletic facilities, libraries, campus events and many discounts throughout metro Boston. The Harvard Medical School is not able to provide visa sponsorship for this position. Job Function Research Sub Unit ------------ Location USA - MA - Boston Department Neurobiology Time Status Full-time Union 00 - Non Union, Exempt or Temporary Salary Grade 058 Appointment End Date 31-Dec-2020 Pre-Employment Screening Education, Identity PI115662084

Analysis Group Director of Data Science US-MA-Boston Job ID: 2019-1606 Type: Regular # of Openings: 1 Category: Data Science Boston Overview Analysis Group is one of the largest international economics consulting firms, with more than 1,000 professionals across 14 offices in North America, Europe, and Asia. Since 1981, we have provided expertise in economics, finance, health care analytics, and strategy to top law firms, Fortune Global 500 companies, and government agencies worldwide. Our internal experts, together with our network of affiliated experts from academia, industry, and government, offer our clients exceptional breadth and depth of expertise. Analysis Group provides economic, financial, and strategy consulting to law firms, corporations, and government agencies. At Analysis Group, Data Science is a center of excellence within a company that already has decades of experience focused on analysis involving data. Within Data Science, the Director of Data Science is charged with collaborating with leading internal and external academic experts to find creative solutions to some of the most challenging and high-value problems we face. The Director of Data Science contributes to both client engagements and to the design and development of internal data science tools and infrastructure. The client work is diverse, utilizing a wide variety of complex and novel data sources, and supporting cases across industries including: finance, healthcare, antitrust, intellectual property, energy, and technology. The tool and infrastructure work assists the firm in developing cutting-edge data science and high-performance computing techniques for common business challenges. The Director of Data Science helps Analysis Group in maintaining our leadership position in terms of advancing methodology and data computations, and works to increase Data Science knowledge within the firm, both through mentorship to more junior Data Science team members and via interactions with Consulting teams. The Director also is involved in recruiting, assisting in building out the team over time. Essential Job Functions and Responsibilities: Work with project teams to creatively address data science/computing challenges Take initiative to identify opportunities for technology to enhance service offerings Act as a resource and participate in client engagements and research as part of the project team Maintain up-to-date knowledge of data science and computing tools, providing technical training and helping to grow the in-house knowledge base Present research at selected conferences; serving as an expert Maintain individual contributions while providing mentorship to other data scientists and analysts conducting work such as: Optimize procedures for managing and accessing large databases (e.g., insurance claims, electronic health records, financial transactions) Create interactive analytics portals and data visualizations (e.g., using R/Shiny, Python/Flask, D3) Build and maintaining high performance computing (HPC) tools on grid and cloud computing environments Develop and reviewing open source macros and packages in R, Python and other Object Oriented Languages Establish optimized procedures for repetitive or computationally intensive tasks (C, C++, Cuda-C) Use natural language processing methodologies to work with EMR data, social media data and other unstructured data Contribute to team growth/development via assistance with advisorship and recruiting Contribute to firm’s strategy for data science tools and infrastructure Qualifications Track record of using data to solve real-world problems Experience applying multiple software tools and languages to provide data-driven analytical solutions to decision makers or research teams Strong credentials and experience in database management and data visualization PhD or advanced degree in computer science or data science-related field, with relevant experience. Other candidates with at least three years of relevant experience in the field will also be considered Background in Statistics/Econometrics or Biostatistics Extensive experience in programming languages like Python, C++, Java Knowledge of R, Shiny and SQL Familiar with online/cloud computing/storage (e.g., AWS) Linux and basic system administration experience Demonstrated experience working on project teams and collaborating with others Strong communication skills PI115444062

Location: US-MA-Cambridge ID: 2018-1113 # of Openings : 1 Category: Research & Development Address: 650 East Kendall Street Overview Deerfield Management is an investment management firm committed to improving healthcare through investment, information and philanthropy. We have just launched a new company called Civetta Therapeutics located in Cambridge, MA that was founded by William Sellers (Broad Institute and Dana-Farber Cancer Institute) and Eric Fischer (Dana Farber Cancer Institute and Harvard Medical School). We are looking to engage a high-quality team of researchers to advance new medicines through small molecule intervention targeting propeller domains with the goal of developing important therapeutics for cancer and other indications. If you are a talented life sciences professional that can bring significant energy, passion and talent to the team, we welcome the opportunity to consider you for a position in this exciting, new company. About the Founders: William Sellers is a core institute member of the Broad Institute of MIT and Harvard, a faculty member at Harvard Medical School, and faculty member and senior advisor to the president for experimental therapeutics at the Dana-Farber Cancer Institute. Eric Fischer is an Assistant Professor in the Department of Biological Chemistry and Molecular Pharmacology at Harvard Medical School and an Independent Investigator, Dana-Farber Cancer Institute. Responsibilities The ideal candidate will have hands-on experience working with multidisciplinary teams in drug discovery. Experience participating in structure-based programs from Hit Identification to Clinical Candidate is highly desirable. Responsibilities: Work as part of a team to design novel small molecule ligands as part of drug development efforts Identify specific ligands and implement compound prioritization. Apply computational methods across the drug discovery pipeline including: small molecule docking, homology modeling, free energy calculations, quantum mechanics calculations, QSAR models development, and pharmacophore elucidation Support drug discovery projects by developing and delivering timely, high-quality computational solutions that impact project teams through understanding target-ligand binding, structure-based molecular modeling, ligand-based lead optimization, virtual screening, library design, and ADME in-silico modeling Develop hypotheses to understand drug binding and SAR by application of molecular dynamics Compound library design and the application of virtual screening to identifying new lead material Qualifications Basic qualifications: Ph.D. degree in computational chemistry or related discipline with knowledge of medicinal chemistry Completed post-doctoral research with 5-10 years of industry experience Experience using structure-based design tools, such as the Schrdinger suite, OpenEye, CCG, MOE, and others Experience with ligand- and property-based drug design Proficiency with computer programing/scripting languages, such as KNIME, C++ and Python Strong interpersonal as well as written and oral communication skills Organizational skills, along with a demonstrated ability to work both independently and collaboratively among a small, highly committed team Civetta Therapeutics provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to religion, race, creed, color, sex, sexual orientation, alienage or citizenship status, national origin, age, marital status, pregnancy, disability, veteran or military status, predisposing genetic characteristics or any other characteristic protected by applicable federal, state or local law. PM18 PI115384603

Foundation Medicine Job Location: Boston, MA Req Number: 10842 Department : Data Strategy & Prod Dev (function(d, s, id) { var js, fjs = d.getElementsByTagName(s)[0]; if (d.getElementById(id)) return; js = d.createElement(s); js.id = id; js.src = "https://analytics.click2apply.net/ats/taleo/v2.0.js"; js.setAttribute("data-applicant-info", "false"); fjs.parentNode.insertBefore(js, fjs); }(document, 'script', 'jobtarget-jssdk')); ABOUT FOUNDATION MEDICINE Foundation Medicine, Inc. (FMI) began with an idea-to simplify the complex nature of cancer genomics, bringing cutting-edge science and technology to everyday cancer care. Our approach generates insights that help doctors match patients to more treatment options and helps accelerate the development of new therapies. Foundation Medicine is the culmination of talented people coming together to realize an important vision, and the work we do every day impacts real lives. ABOUT THE JOB Data Scientist I, Data Products researches, prototypes, and otherwise enables the next generation of real-world data products. In partnership with product managers, engineers, and domain experts in oncology and genomics, the Data Scientist leverages FMI's real-world data assets, including FoundationCORE and clinico-genomic database (CGDB) for efforts in analyzing real-world clinical and genomic data. Specifically, the incumbent examines clinical use cases, such as biomarker-based outcomes analyses, examining genomic predictors of clinical outcomes, clinical utility of next-generation sequencing, and the impact of diagnostics on patient care. The Data Scientist I collaborates with internal and external stakeholders to explore and develop opportunities to provide clinical decision support tools based on FMI's data assets. Key Responsibilities: Design, execute and present data query results of large genomics, clinical and process datasets to identify correlating information. Design and develop standardized data templates for reporting and visualization of validation study results. Provide insights and collaborate with other functions in building a centralized validation database to store and trace all analytical and clinical validation data. Maintain and expand knowledge of and access to available and meaningful data sources within and outside of FMI, and their application to product development needs. Collaborate with the Medical, Commercial and Product Teams to design and execute quantitative analyses of real-world oncology cohorts. Create data visualizations communicating insights to a range of audiences. Develop prototype data products for internal and external users, especially in the area of clinical decision support applications. Contribute to the scaling of data product tools to FMI's customers that utilize real world data insights. Co-author case studies and peer-reviewed publications. Provide support on projects of increasing complexity, as needed. Other duties as assigned. QUALIFICATIONS Basic Qualifications: Master's Degree in Statistics, Bioinformatics, Computer Science, Biomedical Engineering, Mathematics, or related field and 1+ year of work experience in the fields of data science, data analysis, biostatistics, or bioinformatics -OR- Ph.D. in Statistics, Bioinformatics, Computer Science, Biomedical Engineering, Mathematics, or related field with no professional work experience. Preferred Qualifications: Expertise in biostatistics and epidemiology data sources and analysis. Experience with the statistical analysis of analyzing clinical health data, particularly survival and outcomes analyses. Experience with the development of clinical decision support tools. Experience with the statistical analysis of genomic data (+/- other omics data types). Knowledge of Next-Generation Sequencing (NGS). Familiarity with regulatory requirements, including those of GCP and ICH. History of successfully completing highly-independent work. Ability to collaborate within cross-functional teams. Strong interpersonal skills that include excellent skills in written and oral communication, and problem solving with other departments and colleagues. Demonstrating of integrity and a commitment to values held at FMI: patients, innovation, collaboration, and passion. Demonstrated history of successfully managing multiple initiatives and maintaining one's own workflow. Understanding of HIPAA and importance of privacy of patient data. Foundation Medicine is proud to be an Equal Opportunity and Affirmative Action employer and considers all qualified applicants for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin. Further, qualified applicants will not be discriminated against on the basis of disability or protected veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also FMI's EEO Statement and EEO is the Law and Supplement . If you have a disability or special need that requires accommodation, please let us know by completing this form . (EOE/AAP Employer) PI115378526