Research Scholar, Biostatistics Service, Department of Epidemiology and Biostatistics
About The Position
We are seeking a highly motivated candidate, interested in statistical and computational methods development and application in immuno-oncology studies, for a position as a postdoctoral fellow. Our group has assembled a uniquely rich, multimodal dataset of immune profiling from blood and tissue samples of cancer patients treated with immunotherapy. These data include flow cytometry, scRNA-seq, spatial transcriptomics, and co-registered multiplex immunofluorescence (mIF) and H&E whole-slide images, all linked to comprehensive clinical annotations. The successful candidate will have the opportunity to lead the development of novel statistical and computational methods for integrating multimodal datasets to uncover mechanisms of treatment response, identify predictive biomarkers, and advance precision immuno-oncology. The fellow will work closely with world-leading experts in immunology, pathology, oncology, and data science, with opportunities to develop both methodological innovations and clinically impactful applications.
Requirements
- Hold a Ph.D. in biostatistics, statistics, computer science, computational biology, or related quantitative discipline.
- Strong methodological training in statistics
- Experience in high-dimensional data analysis
Nice To Haves
- Deep learning or foundation models for biomedical data.
Responsibilities
- Lead the development of novel statistical and computational methods for integrating multimodal datasets to uncover mechanisms of treatment response, identify predictive biomarkers, and advance precision immuno-oncology.
- Work closely with world-leading experts in immunology, pathology, oncology, and data science.
- Develop both methodological innovations and clinically impactful applications.
Benefits
- Access to high-quality facilities
- Innovative technologies
- Collaborative environment that promotes ingenuity
- Opportunities to contribute to groundbreaking research that can revolutionize patient outcomes globally.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
Ph.D. or professional degree
