Post Doctoral Fellow - Data Science, Genome Interpretation

The CAIP seeks a fellow to work closely with electronic health record data, genomic information, and AI technologies to predict the cause, severity, and outcomes of human diseases. The laboratory of Dr. Sean Mooney is recruiting postdoctoral positions within the Center for Genomics and Data Science Research at the National Human Genome Research Institute (NHGRI) in Bethesda, Maryland. Dr. Mooney joined the NIH from the University of Washington in 2024. His research group has broad interests in data science and artificial intelligence in biomedicine, open data science, and in developing new methods to predict and characterize pathogenic genetic variants on the human genome. The group also participates in the organization of data science challenges focused on difficult problems in biomedical research such as Critical Assessments and DREAM Challenges. This position will learn and build significant expertise in machine learning methods to aid genome interpretation. The Mooney group has particular interest in understanding biological and molecular contributions to both pathogenicity of genetic variants and how they contribute to severity and expressivity of genetic disease. The position will require strong collaboration skills as well as a desire to learn new and innovative computational techniques to address this problem.

Candidates should have or be very close to obtaining a terminal biomedical degree (e.g., Ph.D.) with expertise in biomedical informatics or bioinformatics, biostatistics, computer science, genetics, computational biology or closely related areas. Strong computational skills are required. Excellent communication skills and fluency in both spoken and written English are essential.