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Postdoc Biostatistics Jobs (NOW HIRING)

MD Anderson

Postdoctoral Fellow - Biostatistics

Houston, TX · On-site

$64K - $76K/yr

The Department of Biostatistics at has one postdoctoral fellow position open for biostatistics and ... POSITION INFORMATION MD Anderson offers full-time postdoc positions with a salary ranging from $64 ...

Usyd

$89K - $121K/yr

Opportunity for a Research associate or a Postdoctoral Research Associate - Biostatistics to join a multi-disciplinary cardiovascular research program working across the Charles Perkins Centre and ...

Duke University

Postdoctoral Associate

Durham, NC · On-site

... 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 ...

Duke University

Postdoctoral Associate

Durham, NC

... 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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How much do postdoc biostatistics jobs pay per year?

As of Jun 7, 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 in 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 job?

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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Postdoctoral Fellow - Biostatistics

Postdoctoral Fellow - Biostatistics

MD Anderson Cancer Center

Houston, TX • On-site

$64K - $76K/yr

Full-time

Medical, Dental, Retirement, PTO

Posted 21 hours ago

MD Anderson Cancer Center rating

8.4

Company rating: 8.4 out of 10

Based on 164 frontline employees who took The Breakroom Quiz

33rd of 869 rated healthcare providers

Job description

The Department of Biostatistics at has one postdoctoral fellow position open for biostatistics and data science methodology research in clinical trials. The main focus is research and publication. The primary focus will be to develop novel methods for causal AI/inference methods, adaptive Bayesian clinical trial designs, derive related statistical theory, produce software for implementation, incorporate biomarkers in clinical trial design and analysis, and build statistical learning tools for large data sets. The postdoctoral fellow will work under the supervision of Dr. Liang on challenging and important clinical and biological projects that involve complex statistical modeling, data analysis, and computation.
All duties and responsibilities are carried out in compliance with institutional policies, ethical research standards, and applicable federal and state regulations.
LEARNING OBJECTIVES
Trainee will learn through various research projects, with a primary focus on: (1) developing novel statistical and data science methods, as well as user-friendly software, for integrating AI tools to evaluate novel treatments or design future clinical trials in overall population or subgroups, and (2) analyzing real-world and institutional medical datasets. A major methodological focus will be integrating machine learning/artificial intelligence tools, causal inference methods, Bayesian techniques, and adaptive designs to build innovative, next-generation tools for adaptively and efficiently evaluating treatment effectiveness and learning optimal treatment decisions that may vary by different patients' subgroups.
ELIGIBILITY REQUIREMENTS
Applicants must have a recent PhD in biostatistics or statistics from a reputed University/Institute or within 0-1 years of graduation. At least one first author publication in a peer reviewed journal stemming from PhD studies is required. Candidates must have strong methodological training in statistics or biostatistics, especially in causal inference or semiparametric methods, and have strong computer programming skills, in particular using R or Python. Expertise or skills in the following areas are highly desirable: Causal inference, double/debias machine learning, semiparametric methods, Bayesian MCMC computational methods, adaptive clinical trials, and machine learning for estimation or decision-making.
Please send CV and information on three referees directly to mliang2@mdanderson.org.
POSITION INFORMATION
MD Anderson offers full-time postdoc positions with a salary ranging from $64,000 to $76,000 . depending on the number of years of postgraduate experience. The University of Texas MD Anderson Cancer Center offers excellent benefits , including medical, dental, paid time off , retirement , tuition benefits, educational opportunities, and individual and team recognition
Offsite work arrangements are subject to approval and may be modified or revoked at any time based on business needs, performance considerations, or regulatory requirements.
This position may be responsible for maintaining the security and integrity of critical infrastructure, as defined in Section 113.001(2) of the Texas Business and Commerce Code and therefore may require routine reviews and screening. The ability to satisfy and maintain all requirements necessary to ensure the continued security and integrity of such infrastructure is a condition of hire and continued employment.
It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html

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