Job description
Position Description
Participate in the analysis of a large multi-cooperative research grant aimed at conducting an epidemiologic study of mental health, psychological resilience, suicide risk, suicide-related behaviors, and suicide deaths among veterans. Involves working within a fast-paced interdisciplinary team on a statistical analysis of survey data. Statistical analysis includes, but is not limited to data reductions, causal modeling, survival analysis, and policy simulations. Involves working with multiple, large datasets by formatting, merging, and subsetting them to meet the analysis goals. Makes independent decisions about how to implement analysis most effectively and accurately and how to report results. Ensures that tables, figures, and text accurately reflect the results of the analysis. Should be able to understand the statistical foundations behind models. Independently prioritize tasks related to own responsibilities to meet the goals and deadlines of the team. Will plan the programming strategy in order to ensure the effectiveness and accuracy of the analysis. Will work closely with Principle Investigator, Project Director, Project Manager, Senior Biostatistician, Data Manager, and analysis team members at collaborating universities
Basic Qualifications
- Masters degree, in statistics, biostatistics, epidemiology, or related quantitative field; familiarity with standard statistical model fitting and checking techniques is a must.
- Three or more years of relevant experience, preferably SAS and R programming experience. Relevant graduate work may count toward years of experience.
Additional Information
Please also note this is a part-time, 17.5 hours (.5 FTE) per week position.
This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance and continued funding to support the position.
This position is based in Boston, but the work may be done fully or primarily remote. Any remote work must be performed in a state in which Harvard is registered to do business (CA*, CT, MA, MD, ME, NH, NY, RI, and VT). Individual flexible and remote work options for this role will be discussed during the interview process. *Note: Harvard employees working in California must be exempt.
The University requires all Harvard community members to be fully vaccinated against COVID-19 and remain up to date with COVID-19 vaccine boosters, as detailed in Harvard’s Vaccine & Booster Requirements. Individuals may claim exemption from the vaccine requirement for medical or religious reasons. More information regarding the University’s COVID vaccination requirement, exemptions, and verification of vaccination status may be found at the University’s “COVID-19 Vaccine Information” webpage: http://www.harvard.edu/coronavirus/covid-19-vaccine-information/.
Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.
Harvard University offers an outstanding benefits package including:
This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance and continued funding to support the position.
This position is based in Boston, but the work may be done fully or primarily remote. Any remote work must be performed in a state in which Harvard is registered to do business (CA*, CT, MA, MD, ME, NH, NY, RI, and VT). Individual flexible and remote work options for this role will be discussed during the interview process. *Note: Harvard employees working in California must be exempt.
The University requires all Harvard community members to be fully vaccinated against COVID-19 and remain up to date with COVID-19 vaccine boosters, as detailed in Harvard’s Vaccine & Booster Requirements. Individuals may claim exemption from the vaccine requirement for medical or religious reasons. More information regarding the University’s COVID vaccination requirement, exemptions, and verification of vaccination status may be found at the University’s “COVID-19 Vaccine Information” webpage: http://www.harvard.edu/coronavirus/covid-19-vaccine-information/.
Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.
Harvard University offers an outstanding benefits package including:
- Time Off: 3 - 4 weeks paid vacation, paid holiday break, 12 paid sick days, 12.5 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, incredibly affordable classes directly 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.
Job Function
Research
Location
USA - MA - Boston
Job Code
RS0357 Statistician II
Sub-Unit
-
Department
Health Care Policy
Time Status
Part-time
Salary Grade
057
Union
00 - Non Union, Exempt or Temporary
Pre-Employment Screening
Education, Identity
Commitment to Equity, Diversity, Inclusion, and Belonging
We are committed to cultivating an inclusive workplace culture of faculty, staff, and students with diverse backgrounds, styles, abilities, and motivations. We appreciate and leverage the capabilities, insights, and ideas of all individuals. Harvard Medical School Mission and Community Values
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.
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