Job Information
Harvard University Postdoctoral Research Position in Quantitative Sciences for Cancer Research in Cambridge, Massachusetts
Details
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 quantitative 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://researchtraining.nih.gov/programs/training-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://sites.sph.harvard.edu/cancer-training-grant/directors/
Contact Information
Trevor Bierig
Contact Email biostat_postdoc@hsph.harvard.edu
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