Postdoctoral Researcher
Listed on 2026-09-04
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Research/Development
Data Scientist, Clinical Research, Research Scientist, Medical Science -
Healthcare
Data Scientist, Clinical Research, Medical Science
University of Maryland, School of Medicine – Postdoctoral Researcher Company Name University of Maryland, School of Medicine Position Title Postdoctoral Researcher Company Information
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.
- Developing novel AI/ML methods to improve the accuracy, reliability, and validity of downstream statistical inference with AI/ML derived outcomes.
- Developing and implementing computationally intensive algorithms using high-performance computing (HPC) clusters.
- Managing and analyzing multiple large-scale datasets, including UK Biobank (UKBB), HCP, ABCD, ENIGMA, as well as data from local clinical trials and observational studies (e.g., UMMS EHR data).
- Clinical trial design and analysis using advanced statistical methods.
- Imaging, genetics, and omics data analysis and method development.
- Preparing and drafting manuscripts for publication in peer-reviewed journals.
- Performing other duties as assigned.
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.
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