Research Associate

  • Wellesley College
  • Wellesley, MA, USA
  • Oct 23, 2019

Job Description

Wellesley College

EEO Statement

Wellesley College is an Equal Opportunity Employer, and we are committed to increasing the diversity of the college community and the curriculum. Wellesley College and all its subcontractors shall abide by the requirements of 41CFR60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. Moreover, these regulations require that Wellesley College and all of its subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or veteran status. Candidates who believe they can contribute to that goal are encouraged to apply

Location: Wellesley College
Type: Full time
Req ID: R0000174

Please review the details for the position before applying for the opening. If you are an internal employee, please apply through the internal portal on Workday. Note that you will not be able to save your application once you begin, so please allow enough time to complete your application in its entirety. You should have your completed resume/cv and cover letter ready to upload. You should upload both documents on the third page (the required section is named resume/cv - this is also where you should upload your cover letter). These documents should either be in a PDF format (.pdf) or a Word document (.doc) format.

Job Posting Title
Research Associate

Job Description Summary
Admin Exempt

Job Description

Job Description:

The Wellesley Centers for Women (WCW) is an academic research and action institute at Wellesley College that is focused on women and gender and driven by social change. The mission of WCW is to advance gender equality, social justice, and human wellbeing through high-quality research, theory, and action programs.

The WCW seeks a Research Associate for a part-time or full-time (with benefits) position. The Research Associate (RA) will work closely with the two Pis on projects that examine the effects of paid leave policies on workers' and firms' outcomes in the U.S. The RA will manage and organize data and perform econometric analyses. Part of the time the RA will work at the Federal Research Data Center (RDC), housed inside the National Bureau of Economic Research (NBER) in Cambridge, MA. The job requires significant programming experience, ability to handle very large-scale data sets, and knowledge of basic econometric techniques. In addition to the data work, the tasks may include synthesizing data results, conducting literature reviews, drafting reports or briefs, and developing presentations. The RA will also support other team activities as necessary.

The ideal RA will have a master's degree or be looking for a post-doc position. We will also consider undergraduate candidates with significant research and data experience. The RA will need to pass federal security clearance to access data in the federal RDC, and cand idates who already have the special sworn status will be prioritized. We wiH be able to offer either a part-time position (17.5 - 26.25 hours/week), or full-time position (35 hours/week), depending on the RAs preferences and other commitments.

Skills Required:
  • STATA and/or SAS;
  • Data analysis with large scale data sets;
  • Basic econometric techniques and causal analysis;
  • Ability to comprehend and synthesize results of statistical analyses and to prepare literature reviews / research summaries;
  • Ability to work well independently and as part of a team;
  • Must be organized and able to meet task and project deadlines;

Experience Preferred:
  • Master's degree or PhD, preferably in economics, or BA with significant research experience;
  • Research experience with large, complex data in empirical projects;
  • Experience in creating deliverables for academic audiences

Worker Sub-Type

Time Type
Full time