Senior AI Program Manager

Key Responsibilities

• 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.
• Oversee and track multi-site research projects, including project milestones, deliverables, and dependencies across collaborating sites, data onboarding, and resolving scheduling and resource conflicts.
• Manage activities related to reporting deadlines, data use agreements, material transfer agreements, and institutional review submissions.
• Oversee onboarding of new students onto lab resources, plan and execute workshops, seminars, and site visits, handle recruitment logistics, and manage 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.
• Maintain records of software releases, datasets, and project websites, verify that documentation, licenses, and links remain current, and partner with project leads on release timing and public announcements.

Qualifications

• Minimum of five years’ post-secondary education or relevant work experience.
• M.S., Ph.D., or equivalent degree in computer science, engineering, computational biomedicine, technology and operations, or a related field is strongly preferred.
• A strong technical background in AI or computational sciences, with familiarity in biology or medicine.
• Exceptional writing skills, with experience producing high-quality technical content such as research papers.
• Strong verbal communication skills, capable of presenting complex ideas clearly to academics and non-specialists.
• A proven ability to represent academic research projects in meetings with collaborators, institutions, and foundations.
• Experience with academic partnerships, including writing research proposals.
• Excellent organizational abilities, with experience in managing projects, timelines, and resources.
• Previous experience in an academic research setting is strongly preferred.