Postdoctoral Research Associate - Statistical Methods for Pediatric Oncology Clinical Trials
About The Position
St. Jude is seeking a highly motivated postdoctoral researcher to develop innovative statistical methods for pediatric oncology clinical trials. The research program addresses methodological challenges in pediatric and rare-disease settings, where populations may be small, outcomes delayed or complex, and conventional randomized trial approaches infeasible. Research spans innovative clinical trial design, causal inference, external controls and real-world evidence, digital twins and counterfactual prediction, and methods for survival, longitudinal, and other complex outcomes. Clinical applications primarily involve pediatric solid tumors, including neuroblastoma and sarcoma, as well as emerging cellular and immunotherapy studies such as CAR-T therapy. The researcher will have substantial flexibility to develop an independent methodological research program aligned with their background and interests, emerging scientific opportunities, and problems arising from ongoing pediatric oncology research. The balance between methodological development and applied collaboration can be tailored to the candidate’s background, interests, and career goals.
Requirements
- PhD in biostatistics, statistics, epidemiology, data science, or a closely related quantitative discipline.
- Strong training in statistical methodology.
- Experience with statistical programming, preferably in R and/or Python.
- Strong written and oral communication skills.
- Ability to work effectively in multidisciplinary research teams.
- Interest in clinical trials and biomedical research.
Nice To Haves
- Experience in clinical trial design.
- Experience in survival analysis.
- Experience in Bayesian statistics.
- Experience in causal inference.
- Experience with external controls or real-world evidence.
- Experience in target trial emulation.
- Experience in longitudinal data analysis.
- Experience in machine learning or causal prediction.
- Experience in pediatric oncology; prior pediatric oncology experience is not required.
Responsibilities
- Develop new statistical methodology motivated by important pediatric oncology problems.
- Conduct simulation studies to evaluate statistical operating characteristics.
- Analyze clinical trial, registry, and real-world datasets.
- Develop statistical software in R and/or Python.
- Collaborate with pediatric oncologists, clinical investigators, statisticians, and data scientists.
- Participate in the design and analysis of innovative pediatric oncology clinical trials.
- Publish methodological and applied research in leading statistical, clinical trial, and medical journals.
- Present research at national and international scientific meetings.
- Develop independent research ideas and a coherent methodological research program.
- Contribute to collaborative grant proposals and future independent funding applications.
- Participate in mentoring and research activities within the Department of Biostatistics.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
Education Level
Ph.D. or professional degree
