The Genomics AI Program Manager will support a Center-wide Initiative at the New York Genome Center (NYGC) focused on advancing the development and application of artificial intelligence and machine learning approaches to genomic interpretation and human disease. The Initiative brings together NYGC faculty, technologists, computational scientists, and external collaborators to develop and apply large-scale AI models that link genomic sequence to cell-type–specific regulation, disease phenotypes, and biological function. The mission of the Genomics AI Initiative is to address key bottlenecks in genomic interpretation by integrating high-throughput sequencing, single-cell and spatial multiomics, perturbation and functional genomics, and modern machine learning approaches. This effort is inherently interdisciplinary and collaborative, requiring close coordination across scientific domains, data production and infrastructure, and external collaborative partners. The Program Manager will provide coordination and operational leadership across the full range of activities undertaken by the Genomics AI Initiative. This includes day-to-day management of complex, multi-investigator scientific collaborations; coordination of Consortium-wide activities such as working groups, journal clubs, and symposia; development of scientific and programmatic materials; and support for grant and philanthropic proposal development. The Program Manager will play a central role in enabling collaboration across NYGC leadership, faculty, Genomics AI fellows, external collaborators, and commercial partners by tracking scientific progress, facilitating data access and sharing, supporting computational infrastructure planning, and ensuring alignment across teams. This position will report to the Scientific Director & CEO, or an individual designated by the Scientific Director & CEO, and will work closely with the Genomics AI Initiative participants. This role sits at the intersection of genomics, data science, and program coordination and is well-suited for an incumbent adept at working across scientific disciplines and operational functions.
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Job Type
Full-time
Career Level
Manager
Education Level
Ph.D. or professional degree
Number of Employees
101-250 employees