Senior AI Program Manager
Harvard University
- Location
- Boston, MA, United States
- Employment
- Full Time
- Work model
- On-Site
- Level
- Senior
- Posted
- 2h ago
About this role
Senior AI Program Manager Full-time Work Format: Fully On-Site Harvard Job Function: Information Technology Union: 00 - Non Union, Exempt or Temporary Salary Grade: 057 Department: Biomedical Informatics FLSA Status: Exempt Company Description By working at Harvard University, you join a vibrant community that advances Harvard's world-changing mission in meaningful ways, inspires innovation and collaboration, and builds skills and expertise. We are dedicated to creating a diverse and welcoming environment where everyone can thrive. Why join Harvard Medical School? Harvard Medical School's mission is to nurture a diverse, inclusive community dedicated to alleviating suffering and improving health and well-being for all through excellence in teaching and learning, discovery and scholarship, and service and leadership. You’ll be at the heart of biomedical discovery, education, and innovation, working alongside world-renowned faculty and a community dedicated to improving human health. This is more than a job - it’s an opportunity to shape the future of medicine. Job Description Prof. Marinka Zitnik invites applications for the position of Senior AI Program Manager at Harvard University. This role provides a unique opportunity to participate in cutting-edge research at the intersection of AI, medicine, and biology while fostering collaboration within a world-class academic environment. We are seeking a creative, ambitious, highly motivated, experienced individual to join our lab of graduate students and postdoctoral fellows. The Senior AI Program Manager is responsible for the operational side of the lab's national and international research initiatives, working closely with Prof. Zitnik to support the translation of cutting-edge AI research into biomedical discovery. This position requires a combination of technical background, strong organizational skills, and the ability to communicate effectively across academic and scientific domains. Key responsibilities include: Create sponsor reports, progress updates, technical documentation, tutorials, and outreach material, and maintain public-facing project documentation. Lead operational contact for lab collaborations, industry and frontier AI lab partners, and foundation sponsors, contributing to partner meetings and tracking commitments and follow-up actions on behalf of the PI. Overseeing and tracking multi-site research projects, including project milestones, deliverables, and dependencies across collaborating sites, data onboarding, and resolving scheduling and resource conflicts. Managing activities related to reporting deadlines, data use agreements, material transfer agreements, and institutional review submissions. Overseeing onboarding of new students onto lab resources, planning and executing workshops, seminars, and site visits, handling recruitment logistics, and managing computing accounts supporting the research program. Responsible for lab meeting operations including confirming schedules and rotation of presenters, overseeing recurring project and collaborator calls across time zones, and creating and circulating agendas and notes. Maintaining records of software releases, datasets, and project websites, verifying that documentation, licenses, and links remain current, and partnering with project leads on release timing and public announcements. As part of your application, we recommend including a cover letter, curriculum vitae, 2-3 representative publications or examples of written technical documentation, 2-3 examples of written research proposals or research reports , that will help us better understand your qualifications and background. This can provide valuable insight into your experience and interest in the role. Qualifications Basic Qualifications: Minimum of five years’ post-secondary education or relevant work experience. Additional Qualifications and Skills: M.S, Ph.D. or equivalent degree in computer science, engineering, computational