Position Description

Basic Qualifications

• 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 Skills

Familiarity with standard statistical model fitting and checking techniques is a must.
 

Additional Information

This 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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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.