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. Applications will be accepted on a rolling basis until the position is filled. The job announcement is pasted below. To apply, please click here: 44537BR : Applied Research Statistician<https://jobs.brassring.com/1033/asp/tg/cim_jobdetail.asp?jobId=1348317&type=search&JobReqLang=1&recordstart=1&JobSiteId=5341&JobSiteInfo=1348317_5341&Partnerid=25240&Siteid=5341&al=0>.



If you have any questions about the position feel free to contact me directly.



Arevik Avedian
Manager, Empirical Research Services

Lecturer on Law
Harvard Law School
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617.495.5268



Job Details:
Auto req ID: 44537BR
Business Title: Applied Research Statistician
School/Unit: Harvard Law School
Location: USA - MA - Cambridge
Time Status: Full-time
Schedule: Monday through Friday, 9 to 5
Department: Empirical Research Services
Salary Grade: 056
Union: 00 - Non Union, Exempt or Temporary



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. The Statistician will directly report to the manager of the Empirical Research Services (ERS).

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 ERS director, 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.

Essential Functions:

  *   Assist with procuring data sets and setting up data for use with statistical packages such as Stata and R.
  *   Investigate, analyze and interpret data using linear and nonlinear statistical models.
  *   Prepare clear and concise written summaries with tables and graphs that demonstrate key findings.
  *   Formulate research designs and suggest ways to improve designs by identifying potential problems, recommending and implementing solutions.
  *   Review draft papers for replicability and the appropriate use of statistical methods.
  *   Assist in designing and implementing surveys through Qualtrics and Mturk.

Additional Responsibilities:

  *   Develop resource guides leading to data sets and other resources in empirical research.
  *   Aid in the selection of statistical software and providing training on the selected packages.
  *   Actively continue ongoing professional development, including maintaining a high degree of expertise in many facets of research service including information technology, knowledge of legal and law-related information sources, sources for business and corporate information, and instructional methods.
  *   Other duties as assigned.

Basic Qualifications:

BA in Economics, Business Administration, Information Science, Statistics or other relevant discipline with emphasis on quantitative/statistical methods. 3 or more years of experience in application of quantitative methods to social science and/or legal data required. Advanced degree in a relevant discipline may count toward experience. Advanced knowledge of Stata and R is required.



Additional Qualifications:

The successful candidate will have proven ability to work independently and creatively; extremely high standards in terms of quality of work, attention to detail, strong organization skills; willingness to learn new methods, and strong commitment to timely task completion; ability to balance multiple tasks and shifting priorities under tight deadline. Experience in text mining, web scraping, content analysis is highly desirable.



Required documents for application: Cover letter, CV, official university transcripts, and 3 recommendations. In the cover letter, please list all the 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 term appointment currently expected to extend one year from start date, renewable subject to departmental funding and departmental need.

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