Postdoctoral Associate Position, School of Public Health and 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, PhD, 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, and Harsh Parikh, PhD, incoming Assistant Professor in the Department of Biostatistics, with a focus on the analysis of electronic health records and real-world healthcare data. 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 as well as support writing research grants. Professional development will be an integral part of the position. This role enables postdocs to gain expertise in causal analysis within complex, non-probability observational samples while engaging in exciting applications that harness and integrate data from various sources such as electronic health records, biobanks, registries, etc. The position will also provide a solid foundation to build a research career in academia, government, or industry.
Qualifications:
- Completed doctorate in Biostatistics, Statistics, Data Science, Computer Science, Bioinformatics, or a related field before the start of the appointment
- 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
- Experience with clinical, EHR, or biobank data analyses 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: Flexible, as early as May 1, 2025
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: http://apply.interfolio.com/164300
Questions regarding this position should be directed to matthew.schlager@yale.edu.
Additional information on the Yale School of Public Health, the Department of Biostatistics and the Department of Chronic Disease Epidemiology at the School of Public Health can be found via the links below:
About Us | Yale School Of Public Health
Biostatistics | Yale School of Public Health
Chronic Disease Epidemiology Department | Yale School of Public Health
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.