Postdoctoral Research Position in Quantitative Sciences for Cancer Research

Harvard University

United States

February 5, 2022



Title Postdoctoral Research Position in Quantitative Sciences for Cancer Research

School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description

The Department of Biostatistics at the Harvard T.H Chan School of Public Health invites applications for a Postdoctoral fellow position funded in large part by an NIH training grant on Quantitative Sciences for Cancer Research. Candidates have latitude to choose among several mentors across various institutes at Harvard; research can range from the most applied to the most theoretical as long as there is a genuine commitment to its ultimate utility in cancer research.

Basic Qualifications

The ideal candidate is an independent, solution-oriented thinker with a strong quantitive background and a clear commitment to cancer research. Other qualifications include:

• Required: PhD in Statistics, Biostatistics, Computer Science, Data Science, or related field • Required: U.S. Citizenship or Permanent Residency • Preferred: Familiarity with multiple data science tools and ability to learn new tools as required. • Preferred: Excellent communication and writing skills.

This position is funded by an NIH T32 grant. Candidates must meet appointment eligibility criteria (career level and US citizenship or permanent residency), as outlined https: // grants/T32

Additional Qualifications Special Instructions

The application should include an indication of which preceptor or preceptors would be the candidate's preferred choice. The list of preceptors can be found at

https: //

Contact Information

Susan Luvisi

Contact Email Equal Opportunity Employer

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.

Minimum Number of References Required 2 Maximum Number of References Allowed 4 Keywords

Supplemental Questions

Required fields are indicated with an asterisk ().

Applicant Documents

Required Documents

  • Curriculum Vitae
  • Cover Letter
  • Optional Documents