Program Manager
Location: Cambridge, United Kingdom (3 days onsite, 2 days remote)
Employment Type: Inside IR35 agency Contract – 12 months
Pay: 42-44 pounds per hour
Role Overview
This position plays a critical role in translating frontier research into real-world impact. As a Technical Program Manager, you will work in service of a world-class research lab, acting as the interface between researchers and strategic partners. This role is responsible for leading early access programs and customer-facing engagements that connect cutting‑edge AI for Science capabilities with partners in industry and academia. The position requires a passion for how AI advances sciences and an ability to manage milestones and deadlines in a research environment.
Key Responsibilities
- Lead the design and execution of Research Early Access Programs (REAP), translating frontier AI for Science research into high‑impact partner engagements.
- Serve as the interface between the research department and strategic partners, shaping co‑innovation opportunities and leading pilots.
- Orchestrate complex programs across research, engineering, and partner ecosystems, establishing governance through roadmaps and risk management.
- Work with researchers to convert experimental advances into usable workflows, prototypes, and solution constructs.
- Develop a high‑quality partner pipeline and synthesize signals across the AI for Science landscape to help shape strategy.
- Act as a key external interface, using soft skills to interact effectively with partners such as national and biomedical labs.
Required Qualifications
Education & Experience
- A background and knowledge in a scientific field such as Biology, Chemistry, or Physics, with hands‑on academic or professional experience.
- Relevant experience in a science lab setting and a demonstrated intellectual curiosity for how AI can advance areas like drug discovery or advanced materials.
- Experience may be equivalent to a Bachelor’s degree in Computer Science, Engineering, Physical Sciences, or a related field with 6+ years of experience, a Master’s degree with 4+ years of experience, or demonstrated ability to lead complex technical programs involving AI or scientific computing.
Technical Skills
- A foundational understanding of AI, machine learning, and the data science space.
- A background in software coding or basic computer science would be beneficial.
- Proficiency with office suites for reporting and the confidence to present findings.
Preferred Qualifications
- Experience working in AI for Science domains such as computational chemistry, materials science, or drug discovery.
- Familiarity with foundation models or simulation‑based workflows.
- Experience leading customer‑facing technical programs or co‑innovation initiatives.
- Background in research environments or early‑stage incubation settings.
- Ability to operate across technical depth and strategic context, engaging both researchers and senior stakeholders.
Work Environment
This role offers a hybrid work arrangement, requiring a minimum of three days per week onsite in a small office on the research campus in Cambridge. The position involves explorations with major technology companies, national labs, and startups in fields such as AI for energy and climate prediction.
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