Sent on behalf of Arevik Avedian, Lecturer at Harvard Law School
Harvard Law School is
hiring an Applied Research Statistician. The initial appointment will be for one year, with likely reappointment, subject to performance and available funding. Remote work may be considered for candidates residing in
California, Connecticut, Maine, Maryland, Massachusetts, New Hampshire, New York, Rhode Island, and Vermont. Applications will be accepted on a rolling basis until the position is filled. The job announcement is pasted below. Apply
here.
If you have any questions about the position feel free to contact me directly.
Arevik Avedian
Lecturer on Law
Director, Empirical Research Services
Harvard Law School, 384 Langdell Hall
Tel (617) 495-5268
School/unit: Harvard Law School
Auto req ID: 59769BR
Posted: 26-Aug-2022
Job Summary
Harvard Law School (HLS) is hiring an Applied Research Statistician to consult with and provide empirical research support for HLS faculty, primarily, and for other members of
the HLS community.
Successful applicants will be comfortable in an environment that requires a high level of independence and intellectual curiosity. Under the general direction of HLS faculty and
the Manager for Empirical Services, the Applied Research Statistician will develop, design, and conduct empirical research projects; gather, edit and analyze quantitative datasets; conduct background research; design new databases, online surveys and conduct
experiments.
Position Description
As an Applied Research Statistician, you will:
Basic Qualifications
Additional Qualifications and Skills
We are looking for people who have:
Additional Information
Cover letter strongly encouraged, along with CV and official university transcripts. In the cover letter list up to three most relevant empirical research
projects you have worked on: describe the project, the level of your involvement in the project, type of data, statistical methods and statistical software used.
This is a one year term appointment with potential for renewal subject to funding and departmental needs.