Job posting number: #7146521 (Ref:hh-62633BR)
Posted: May 23, 2023
Application Deadline: Open Until Filled
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 sub-setting 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 to ensure the effectiveness and accuracy of the analysis. Will work closely with the Principal Investigator, Project Director, Project Manager, Senior Biostatistician, Data Manager, and analysis team members at collaborating universities.
- Master's degree, in statistics, biostatistics, epidemiology, or related quantitative field.
- Three or more years of relevant experience, preferably SAS and R programming experience. Relevant graduate work may count towards experience.
- US Citizen Status required by US Army.
Additional Qualifications and SkillsFamiliarity with standard statistical model fitting and checking techniques is a must.
Additional InformationThis position requires a National Agency Check with Credit Check and Written Inquiries (NACIC) and fingerprinting conducted by the Security Division at USUHS to obtain Army STARRS level one security clearance. US Citizen Status required by US Army.
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 primarily remote. Any remote work must be performed in a state in which Harvard is registered to do business (CA*, CT, GA, IL, MA, MD, ME, NH, NJ, NY, RI, VA, VT, and WA). 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 health of our workforce is a priority for Harvard University. With that in mind, we strongly encourage all employees to be up-to-date on CDC-recommended vaccines.
Please note that we are currently conducting a majority of interviews and onboarding remotely and virtually. We appreciate your understanding.
The Harvard Medical School is not able to provide visa sponsorship for this position.
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EEO StatementWe 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.
Harvard Medical School strives to cultivate an environment that promotes inclusiveness and collaboration among students, faculty and staff and to create new avenues for discussion that will advance our shared mission to improve the health of people throughout the world.