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Biostatistics Research Associate Jobs (NOW HIRING)

UNIVERSITY OF ARIZONA

$60 - $80/hr

Postdoctoral Research Associate, Pathology & Lab Medicine Postdoctoral Research Associate ... biostatistics, molecular imaging, and digital pathology provide additional research opportunities.

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How much do biostatistics research associate jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for biostatistics research associate in the United States is $16.06, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $18.27 per hour, depending on experience, location, and employer.

What is the difference between Biostatistics Research Associate vs Biostatistics Analyst?

AspectBiostatistics Research AssociateBiostatistics Analyst
Required CredentialsBachelor's or Master's in Biostatistics, Statistics, or related fieldBachelor's or Master's in Biostatistics, Statistics, or related field
Work EnvironmentResearch institutions, clinical trials, healthcare organizationsHealthcare, pharmaceutical companies, research firms
Employer & Industry UsageAcademic, government, and industry research projectsPharmaceuticals, biotech, healthcare analytics

Biostatistics Research Associates and Biostatistics Analysts often share similar educational backgrounds and work environments. However, Research Associates typically focus on supporting data collection and preliminary analysis in research settings, while Analysts may handle more complex data interpretation and reporting tasks in industry roles. Both roles are essential in advancing health research and data analysis.

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Infographic showing various Biostatistics Research Associate job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $33,401 per year, or $16.1 per hour.

Associate Research Scientist in Biostatistics, Data Science Data Equity

Yale University

New Haven, CT • On-site

$59K - $59K/yr

Full-time

Re-posted 12 days ago

Key responsibilities

  • Provide expert biostatistical and computational consultation on study design, implementation, analysis, and protocol development for projects related to real-world healthcare data.

  • Conduct and oversee comprehensive statistical analysis of biobank data, including coding and visualization in R/Python.

  • Publish and present research findings, develop tools for data integration across biobanks, and contribute to programs and educational initiatives in public health data science.

Yale University rating

8.2

Company rating: 8.2 out of 10

Based on 65 frontline employees who took The Breakroom Quiz

152nd of 631 rated colleges and universities

Job description

Description
We are actively recruiting an Associate Research Scientist as part of the new schoolwide Public Health Data Science and Data Equity Initiative, with a primary appointment in the Department of Biostatistics.
The Associate Research Scientist 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 and Professor of Chronic Disease Epidemiology. The research involved will focus on analysis of electronic health records linked to biobanks, real-world healthcare data. There may also be opportunities for collaboration with faculty with experience in cancer and cardiovascular diseases. Involvement in training and mentoring and helping to organize an undergraduate summer program in biostatistics and data science will be an integral part of the position. The position is for a one-year term that is renewable based on availability of resources, satisfactory performance and progress.
Responsibilities include:
• Providing expert biostatistical/computational consultation and collaboration on study design, implementation, analysis and the preparation of protocols, grants, and manuscripts for projects related to real world healthcare data as part of the Public Health Data Science and Data Equity Initiative
• Coding and visualization in R/Python
• Planning, conducting and overseeing comprehensive statistical analysis of biobank data
• Creating digital ecosystems that enables external linkage and harmonization across global biobanks
• Publishing and presenting research results in peer-reviewed professional journals and at scientific conferences.
• Developing tools and processes that enable seamless integration and analysis of multiple biobanks by community researchers
• Helping with programs and educational initiatives related to public health data science
• Engage in novel biostatistical research related to electronic health records, selection bias, missing data, causal inference and machine learning
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
Organization: Yale School of Public Health
Department: Biostatistics
Primary Location: New Haven, CT
Education Level: PhD
Shift: Days, 40 hours/week
Expected Start Date: As early as May 1, 2025
Qualifications
Qualifications:
• Completed doctorate in Biostatistics, Statistics, Data Science, Computer Science or a related field.
• Demonstrated track record of research and publication.
• Excellent oral and written communication skills and the ability to work effectively with a wide range of constituencies in a diverse interdisciplinary team.
• Proficiency with statistical computing (e.g., R, Python or C/C++).
• Interest and expertise in large-scale data management, linkage and data integration.
• Demonstrated capacity to work both collaboratively and independently.
• Ability to handle complex topics and explain them well to practitioners and non-quantitative audience.
• Strong strategic, analytical, and problem-solving skills.
• Strong interpersonal, project leadership, and management skills to facilitate timely and professional deliverables.
• Previous mentoring and teaching experiences are desirable but not required.
• A minimum of 2-5 years of experience in a research statistician, collaborative quantitative data scientist role is preferred.
Application Instructions
To apply:
Applicants are asked to submit a (1) CV, (2) cover letter that addresses their specific interest in this position, (3) statement of research/professional accomplishments/interests and (4) the names and contact information for three professional references via Interfolio. Review of applications will begin immediately and will continue until the position is filled.
Questions regarding this position should be directed to: matthew.schlager@yale.edu

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