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How much do biostatistics professor jobs pay per year?

As of Jul 25, 2026, the average yearly pay for biostatistics professor in the United States is $114,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $121,500.00 per year, depending on experience, location, and employer.

What are some common responsibilities of a Biostatistics Professor within a university setting?

Biostatistics Professors are typically responsible for teaching undergraduate and graduate courses, mentoring students, and supervising thesis or dissertation research. They often lead or collaborate on biomedical and public health research projects, develop grant proposals, and publish scholarly articles. Additionally, they may serve on academic committees and participate in department and university service activities. This dynamic role usually involves a balance of teaching, research, and administrative duties, fostering opportunities for professional growth and meaningful collaboration with colleagues across disciplines.

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

A Biostatistics Professor should have expertise in statistical methods, data analysis, research design, and possess a doctoral degree in biostatistics or a closely related field. Familiarity with statistical software such as R, SAS, or SPSS, as well as experience with grant writing and research publication, is typically expected. Strong communication, mentorship, and organizational skills are crucial to effectively teach, advise students, and collaborate on interdisciplinary research. These competencies are essential for advancing both academic scholarship and student success in a university setting.

What is a Biostatistics Professor job?

A Biostatistics Professor is an academic professional who teaches and conducts research in the field of biostatistics, which involves applying statistical methods to biological and health-related research. They typically work at universities or research institutions, teaching courses in biostatistics, mentoring students, and developing new statistical methods for analyzing medical and public health data. Their research may involve collaboration with scientists, healthcare professionals, and policymakers to improve study designs and data interpretation. Many also publish academic papers, apply for research grants, and contribute to the advancement of statistical methodologies in medicine and biology.

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Biostatistics Professor jobs near you
Infographic showing various Biostatistics Professor job openings in the United States as of July 2026, with employment types broken down into 65% Full Time, 34% Part Time, and 1% Contract. Highlights an 60% Physical, 3% Hybrid, and 37% Remote job distribution, with an average salary of $114,792 per year, or $55.2 per hour.
Postdoctoral Associate Position, Yale School of Public Health and Department of Biostatistics

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

Yale University

New Haven, CT • On-site

$49K - $66K/yr

Full-time

Posted 13 days ago

Yale University rating

8.6

Company rating: 8.6 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

54th of 560 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.

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