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Science Program Manager

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Job Description

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

Job Summary

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