Postdoctoral Research Fellow in Biostatistics
Harvard University Harvard School of Public Health
United States

Postdoctoral Research Fellow in Biostatistics

School Harvard T.H. Chan School of Public Health

Department/Area Epidemiology

Position Description

One or two Postdoctoral Research positions in biostatistical method development are available at the Harvard T.H. Chan School of Public Health with Dr. Molin Wang, Dr. Bernard Rosner and colleagues. This position involves methodological developments and applied work aimed at the analysis of epidemiological studies with measurement error and other complexities in clustered/longitudinal and survival data analysis settings. Applications to the prevention of chronic disease will motivate the statistical research.

Basic Qualifications

Qualifications are a PhD in statistics or biostatistics, strong programming skills, as well as good written communication skills. Prior course work in causal inference and/or experience with epidemiologic data preferred. Candidates whose doctoral dissertation focused on longitudinal/clustered data analysis, causal inference, survival data analysis and theoretical statistics will be preferred.

Additional Qualifications

Special Instructions

Contact Information

Scientific questions regarding these positions can be sent to Molin Wang at stmow@channing.harvard.edu.
Administrative questions regarding this position can be sent to Megan Marchese at marchese@hsph.harvard.edu.

Contact Email stmow@channing.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

Required fields are indicated with an asterisk (*).

Applicant Documents

Required Documents

  • Curriculum Vitae
  • Cover Letter
  • Statement of Research
  • Optional Documents


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