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Postdoc Biostatistics Jobs (NOW HIRING)

... and biostatistical methods to complex, multi-level data. The Postdoctoral Associate will train ... under the primary mentorship of Dr. Tomi Akinyemiju , with additional support from junior faculty ...

Postdoctoral Associate

Durham, NC · On-site

  • Medical

  • Retirement

  • PTO

... and biostatistical methods to complex, multi-level data. The Postdoctoral Associate will train ... under the primary mentorship of Dr. Tomi Akinyemiju , with additional support from junior faculty ...

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$43.5K

$119.8K

$219.5K

How much do postdoc biostatistics jobs pay per year?

As of Aug 15, 2026, the average yearly pay for postdoc biostatistics in the United States is $119,752.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,500.00 and $166,500.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a postdoc biostatistics?

As a Postdoc in Biostatistics, your daily responsibilities often include designing statistical analyses for research studies, managing and cleaning large datasets, and interpreting complex results. You will frequently collaborate with biomedical researchers, clinicians, and other statisticians to develop analysis plans and contribute to scientific manuscripts or grant proposals. Participation in regular lab meetings, presenting your work, and staying updated on the latest statistical methodologies are also common aspects of the role. This dynamic work environment provides opportunities to expand your expertise and build a strong foundation for future academic or industry careers.

What are the key skills and qualifications needed to thrive in the postdoc biostatistics position, and why are they important?

To thrive as a Postdoc in Biostatistics, you need advanced expertise in statistical methods, data analysis, and research design, typically supported by a PhD in biostatistics, statistics, or a related field. Familiarity with statistical software such as R, SAS, or Python and experience with data management systems are crucial for the role. Strong communication, problem-solving, and project management skills help in presenting findings and collaborating with interdisciplinary research teams. These abilities enable you to effectively contribute to scientific research, drive innovative solutions, and ensure the integrity and impact of analytical results.

What is a postdoc biostatistics?

A Postdoc Biostatistics job is a temporary research position for Ph.D. graduates specializing in statistical methods for biological, medical, or public health research. Postdoctoral researchers in biostatistics work on analyzing complex datasets, developing statistical models, and collaborating with interdisciplinary teams to address scientific questions. They often contribute to publications, grant applications, and the development of novel methodologies. The job typically lasts for one to three years and serves as a bridge to academic, industry, or government research careers.

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Cities with the most Postdoc Biostatistics job openings:

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Infographic showing various Postdoc Biostatistics job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $119,752 per year, or $57.6 per hour.

Postdoctoral Associate Position, Yale School of Public Health and Department of Biostatistics

Yale University

New Haven, CT • On-site

$49K - $66K/yr

Full-time

Re-posted 4 days ago


Yale University rating

8.6

Company rating: 8.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

67th of 618 rated colleges and universities


Job description

Description
We are actively recruiting a postdoctoral associate to join the Public Health Data Science and Data Equity (DSDE) 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, with a focus on developing methods and tools for the analysis of electronic health records and real-world healthcare data. There will 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 analysis and inference 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.
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 November 1, 2025
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
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
Application Instructions
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 bhramar.mukherjee@yale.edu.
Equal Employment Opportunity Statement
The University is committed to basing judgments concerning the admission, education, and employment of individuals upon their qualifications and abilities and seeks to attract to its faculty, staff, and student body qualified persons from a broad range of backgrounds and perspectives.
Additionally, in accordance with this Policy and as delineated by federal and Connecticut law, Yale does not discriminate in admissions, educational programs, or employment against any individual on account of that individual's sex; sexual orientation; gender identity or expression; pregnancy, childbirth or related conditions; race; color; national or ethnic origin; religion; age; disability; protected veteran status, or other protected classes as set forth in federal and Connecticut law.
Professional Conduct Review for New Faculty Hires
The final candidate, upon acceptance of a contingent offer of employment/faculty appointment, may be required to disclose whether they are, or have been, the subject of any disciplinary proceeding (investigation, hearing, etc.) at previous institutions or employers, and may also be subject to a background screening. Candidates who materially misrepresent information on their resume or other application materials are ineligible for hire/appointment. Final candidates may also be required to sign a release to allow Yale to solicit information regarding any substantiated conduct violations from current and/or past employers.

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