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Postdoctoral Associate Position

Department of Biostatistics

We are actively recruiting a postdoctoral associate to join the Public Health Data Science and Data Equity research team in the School of Public Health with a primary home in the Department of Biostatistics.

The postdoctoral associate will work with Dr. Bhramar Mukherjee, Ph.D, the inaugural Senior Associate Dean of Public Health Data Science and Data Equity, Anna M.R. Lauder endowed Professor of Biostatistics, Professor of Chronic Disease Epidemiology, Professor of Statistics and Data Science, with a focus on analysis of electronic health records and real world healthcare data and global health. There may also be opportunities for collaboration with faculty with experience in cancer and cardiovascular diseases. The position is for one year, and is renewable for a second year based on satisfactory performance and progress.

The postdoctoral associate will actively participate in methodological and collaborative research and support writing research grants. Professional development will be an integral part of the position. This position offers postdocs the opportunity to develop expertise in analyzing complex non-probability observational samples and get involved in exciting applications harnessing data from multiple different biobanks. The position will also provide a solid foundation to build a research career in academia, government, or industry.


  • Completed doctorate in Biostatistics, Statistics, Data Science, Computer Science, Bioinformatics, or a related field by August 1, 2024
  • Strong oral and written communication skills, and the ability to work effectively with a wide range of constituencies in a complex and diverse setting
  • Proficiency with statistical computing (e.g., R, Python or C/C++)
  • Demonstrated capacity to work both collaboratively and independently
  • Strong strategic, analytical, and problem-solving skills
  • Strong interpersonal and project management skills to facilitate timely and professional deliverables
  • Experience with causal inference, machine learning, and artificial intelligence is desirable

Organization: Yale School of Public Health

Department: Biostatistics

Primary Location: New Haven, CT

Education Level: PhD

Shift: Days, 40 hours/week

Work Modality: Flexible, hybrid working arrangements could be accommodated if needed

Expected Start Date: September 1, 2024

To apply:

Interested individuals should submit a:

  1. CV,
  2. cover letter that addresses their specific interest in this position, skills and experiences directly related to this position, and highlight overall research interests and plan, and
  3. contact information for three professional references via Interfolio. Review of applications will begin immediately and will continue until the position is filled.

Please apply online.

Questions regarding this position should be directed to

Learn more about the Yale School of Public Health, the Department of Biostatistics, and the Department of Chronic Disease Epidemiology.

Yale University is an Affirmative Action/Equal Opportunity employer. Yale values diversity among its students, staff, and faculty and strongly welcomes applications from women, persons with disabilities, protected veterans, and underrepresented minorities.