Postdoctoral Research Associate - Computational Biology

St. Jude Children's Research Hospital • Memphis, TN

19h • Onsite

About The Position

The Department of Computational Biology at St. Jude Children’s Research Hospital is seeking exceptional candidates for a Postdoctoral Research Associate position focused on pediatric cancer genomics, biomarker development, and precision medicine. The successful candidate will develop and apply computational methods to analyze large-scale genomic, transcriptomic, epigenomic, and clinical datasets from pediatric cancers. The research will emphasize identifying molecular drivers of disease, discovering diagnostic and therapeutic biomarkers, and translating genomic findings into precision-medicine strategies for children with cancer. This position offers opportunities to work with interdisciplinary teams of computational scientists, cancer biologists, clinicians, and translational researchers. Candidates will have access to extensive molecular and clinical datasets, advanced computational infrastructure, and collaborative research programs spanning discovery science and clinical translation.

Requirements

• Hold, or be nearing completion of, a doctoral degree such as a PhD, MD, or equivalent.
• Training in computational biology, bioinformatics, genetics or genomics, statistics, data science, mathematics, computer science, biomedical engineering, or a related quantitative discipline.
• Demonstrated quantitative experience (for those with primarily experimental or clinical training).
• A record of scientific productivity, such as first-author publications or substantial contributions to collaborative research projects.
• Experience analyzing genomic, transcriptomic, or other high-dimensional biomedical data.
• Proficiency in at least one programming language commonly used in biomedical research, such as Python or R.
• A strong foundation in statistics, data analysis, or computational methods.
• The ability to work effectively in an interdisciplinary and collaborative research environment.
• Strong scientific communication and writing skills.

Nice To Haves

• Experience in cancer genomics.
• Experience in pediatric oncology.
• Experience in biomarker discovery.
• Experience in precision medicine.
• Experience in multi-omic data integration.
• Experience in machine learning.
• Experience in single-cell genomics.
• Experience in spatial genomics.
• Experience in analysis of linked molecular and clinical data.

Responsibilities

• Develop and apply computational approaches for analyzing genomic, transcriptomic, epigenomic, and other high-dimensional molecular data from pediatric cancers.
• Integrate molecular, clinical, and treatment-response data to identify cancer drivers, therapeutic vulnerabilities, and biomarkers of diagnosis, prognosis, and treatment response.
• Design and conduct studies that support biomarker development and precision-medicine applications.
• Develop reproducible analytical workflows, statistical models, and computational tools for large-scale cancer genomics research.
• Collaborate with laboratory scientists, clinicians, statisticians, and other computational researchers to formulate research questions and interpret findings.
• Evaluate results using independent cohorts, orthogonal datasets, or experimental validation in collaboration with research partners.
• Communicate research findings through peer-reviewed publications, scientific presentations, and national and international conferences.
• Contribute to collaborative grant proposals and other research-funding applications.

Benefits

• Competitive salary
• Professional-development support
• Comprehensive benefits package

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree