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University of Maryland School of Medicine in Baltimore seeks a Postdoctoral Researcher for the Biostatistics and Medical Data Science Laboratory. You will advance AI/ML methods for robust statistical inference and work with HPC resources on large-scale datasets.
Responsibilities include dataset management (UK Biobank, HCP, ABCD, ENIGMA, UMMS EHR), clinical trial design and analysis, imaging/genomics/omics data methods, and drafting manuscripts for peer‑reviewed journals.
Chartered in 1807 as the first public medical school in the United States, the University of Maryland School of Medicine (UMSOM) is a nationally recognized leader in biomedical research, medical education, and clinical care. Located on the University of Maryland, Baltimore campus, UMSOM conducts more than $500 million in research annually and ranks 12th among U.S. public medical schools in total research grants and contracts. Its collaborative environment brings together experts in biostatistics, epidemiology, data science, clinical medicine, and basic science to address major challenges in human health. UMSOM is committed to advancing scientific discovery, training the next generation of health professionals, and improving health in Maryland and worldwide.
University of Maryland School of Medicine is recruiting a Postdoctoral Fellow for the Biostatistics and Medical Data Science Laboratory led by Dr. Shuo Chen.
Education: A Ph.D. degree in a quantitative field such as statistics, biostatistics, bioinformatics, computational biology, human genetics, computer science, or a closely related area is required.
Experience: Demonstrated experience in strong optimization computational skills, proficiency in one of the programming languages R, Python, Matlab, and C++, and expertise in high-performance clusters are required.