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 Director of 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:
Assist with procuring data sets and setting up data for use with statistical packages (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, and recommending and implementing solutions.
Assist in designing and implementing surveys through Qualtrics and Mturk.
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.
Review draft papers for replicability and the appropriate use of statistical methods.
Ensure that data handling complies with Harvard's data privacy standards.
Conduct replication studies to ensure accuracy and reliability.
Other duties as assigned.
Basic Qualifications
BA in Economics, Business Administration, Information Science, Statistics, or other relevant disciplines with emphasis on quantitative/statistical methods.
3 or more years of experience in the application of quantitative methods to social science and/or legal data or an equivalent combination of graduate education and experience.
Additional Qualifications and Skills
We are looking for people who have:
Advanced knowledge of Stata and R, is required.
Experience in text mining, web scraping, and content analysis is highly desirable.
Ability to work independently and creatively.
High standards in terms of quality of work, attention to detail, and strong organizational skills.
Willingness to learn new methods, and strong commitment to timely task completion.
Ability to balance multiple tasks and shift priorities under tight deadlines.
Ability to create clear and structured documentation for code, data processes, and analytical methods to support transparency and reproducibility.
Additional Information
This is a one-year term appointment with potential for renewal subject to funding and departmental need.
A cover letter is strongly encouraged, along with a CV and official university transcripts. The cover letter should include up to three of the most relevant empirical research projects you have worked on: describing the project, the level of your involvement in the project, the type of data, statistical methods, and statistical software used.
We regret that Harvard Law School is unable to provide visa sponsorship for staff positions.
All offers are made by HLS Human Resources.
About Us
Be a part of excellence and leadership in legal education and scholarship at Harvard Law School. We are a community of talented people from diverse backgrounds, lived experiences, and perspectives, dedicated to advancing the cause of justice all over the world. We value our differences and our diversity as a source of strength. We are committed to developing and inspiring our students and our workforce. Whoever you are, whatever you do, however you do it, Harvard Law School is a place where you can thrive.
Benefits
We invite you to visit Harvard's Total Rewards website (https://hr.harvard.edu/totalrewards) to learn more about our outstanding benefits package, which may include:
Paid Time Off: 3-4 weeks of accrued vacation time per year (3 weeks for support staff and 4 weeks for administrative/professional staff), 12 accrued sick days per year, 12.5 holidays plus a Winter Recess in December/January, 3 personal days per year (prorated based on date of hire), and up to 12 weeks of paid leave for new parents who are primary care givers.
Health and Welfare: Comprehensive medical, dental, and vision benefits, disability and life insurance programs, along with voluntary benefits. Most coverage begins as of your start date.
Work/Life and Wellness: Child and elder/adult care resources including on campus childcare centers, Employee Assistance Program, and wellness programs related to stress management, nutrition, meditation, and more.
Retirement: University-funded retirement plan with 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 program including $40 per class at the Harvard Extension School and reduced tuition through other participating Harvard graduate schools.
Tuition Reimbursement: Program that provides 75% to 90% reimbursement up to $5,250 per calendar year for eligible courses taken at other accredited institutions.
Professional Development: Programs and classes at little or no cost, including through the Harvard Center for Workplace Development and LinkedIn Learning.
Commuting and Transportation: Various commuter options handled through the Parking Office, including discounted parking, half-priced public transportation passes and pre-tax transit passes, biking benefits, and more.
Harvard Facilities Access, Discounts and Perks: Access to Harvard athletic and fitness facilities, libraries, campus events, credit union, and more, as well as discounts to various types of services (legal, financial, etc.) and cultural and leisure activities throughout metro-Boston.
LinkedIn Recruiter Tag (for internal use only)
#LI-MH1
Department Office Location: USA - MA - Cambridge
Job Code: RS0356 Statistician I
Job Function: Research
Work Format: Remote
Sub Unit: ------------
Salary Grade: 056
Department: Library Empirical Research Services
Union: 00 - Non Union, Exempt or Temporary
Time Status: Full-time
Pre-Employment Screening: Education, Identity
Commitment to Equity Diversity Inclusion and Belonging: Harvard University views equity, diversity, inclusion, and belonging as the pathway to achieving inclusive excellence and fostering a campus culture where everyone can thrive. We strive to create a community that draws upon the widest possible pool of talent to unify excellence and diversity while fully embracing individuals from varied backgrounds, cultures, races, identities, life experiences, perspectives, beliefs, and values.
EOE 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.