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Postdoctoral Research Position in Biostatistics and Data Science

Job Description


Title Postdoctoral Research Position in Biostatistics and Data Science
School Harvard T.H. Chan School of Public Health
Department/Area Biostatistics
Position Description
The Department of Biostatistics at Harvard TH Chan School of Public Health invites applications for a postdoctoral research fellow position focused on developing innovative statistical and machine-learning methods for analyzing and integrating various types of complex biomedical data (e.g., electronic health record data, claims data, biobanks). Areas of particular interest include (but not limited to): (1) genetic risk prediction for underrepresented populations; (2) distributed causal inference in clinical research networks; (3) statistical methods for high-dimensional data. The postdoctoral fellow will be supervised by Dr. Rui Duan at Harvard and will work closely with collaborators across multiple institutions. The appointment will be for a one-year contract with potential for renewal. The fellow will be expected to participate in methodological research leading to publications in top statistical and applied journals.
Basic Qualifications
1. Doctoral degree in Biostatistics, Statistics, Computer Science, or a related quantitative field.
2. Strong theoretical training in statistics or strong programing skills (R, Python, or C++) are desired.
3. Excellent communication skills and good track record of writing scientific papers.
Additional Qualifications
Special Instructions
Please submit:
  • a cover letter
  • a curriculum vitae
  • one-page research statement
  • one first author publication
  • three references

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 3
Maximum Number of References Allowed 5

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