Advanced degree (PhD, MS, or equivalent) in genomics, computational biology, data science, bioinformatics, or a closely related field; 2+ years of project or program management experience in a scientific or research environment; Demonstrated ability to understand and communicate complex scientific concepts across disciplines; Experience working with large datasets, computational workflows, or data-intensive research programs preferred; Strong organizational and time management skills, with the ability to manage multiple projects and priorities simultaneously; Excellent written and verbal communication skills, including experience preparing scientific or technical materials; Ability to work effectively cross-functionally at all levels, including with faculty, trainees, engineers, administrators and institutional partners; Comfort operating in a fast-paced, evolving research environment with shifting priorities; High degree of Initiative, judgment, and attention to detail; and, Ability to work both independently and collaboratively as part of a team. Manage and coordinate the scientific projects and collaborative activities of the Genomics AI Initiative in alignment with the goals and timelines; Support Genomics AI Initiative leadership in organizing and running working groups, steering committee meetings, journal clubs, workshops, and symposia; Track scientific objectives, milestones, action items, and dependencies across participating labs and teams, and regularly communicate progress to the Genomics AI Initiative leadership; Coordinate the development, review, and dissemination of relevant materials, including presentations, reports, white papers, and scientific summaries; Support development of grant applications, philanthropic proposals, and progress reports in collaboration with faculty, Research Administration, and Development; Facilitate communication across Genomics AI Initiative participants to ensure alignment, transparency, and efficient collaboration; and.