Technical Programme Manager

Latent Labs
London, United Kingdom, United Kingdom
2 months ago
Job Type
Permanent
Work Location
Hybrid
Posted
20 Feb 2026 (2 months ago)

We are looking for an experienced Technical Program Manager to drive the planning, execution, and delivery of complex scientific and technical programmes at Latent Labs. You will work at the intersection of our machine learning research, wet lab operations, and external partnerships, ensuring that cross-functional initiatives stay on track and deliver measurable impact. This role is ideal for someone who thrives in fast-paced, multidisciplinary environments and has a track record of bringing structure to ambitious, research-driven projects.

Who we are

At Latent Labs, we are building frontier models that learn the fundamentals of biology. We pursue ambitious goals with curiosity and are committed to scientific excellence. Before building Latent Labs, our team co-developed DeepMind’s Nobel-prize winning AlphaFold, invented latent diffusion, and built pioneering lab data management systems as well as high throughput protein screening platforms. At Latent Labs you will be working with some of the brightest minds in generative AI and biology.

Our team is committed to interdisciplinary exchange, continuous learning and collaboration. Team offsites help us foster a culture of trust across our London and San Francisco sites.

We’re looking for innovators passionate about tackling complex challenges and maximizing positive global impact. Join us on our moonshot mission.

Who you are

  • You have hands-on experience managing scientific or technical projects, with a demonstrated ability to guide programmes from planning through to delivery.

  • You have experience working across multiple application domains, comfortable navigating between different technical disciplines and stakeholder groups.

  • You are highly organised and detail-oriented, with a natural instinct for identifying risks, dependencies, and blockers before they become critical.

  • You have excellent communication skills and are confident aligning diverse teams - researchers, engineers, biologists, and external partners - around shared goals and timelines.

  • You are comfortable managing vendor relationships, holding external partners accountable to deliverables and timelines.

What sets you apart (preferred but not required)

  • You hold a BSc or above in a scientific or technical field.

  • You have experience working in the AI for Science space, with an understanding of how machine learning is applied to scientific discovery.

  • You have worked across more than one sector, giving you a breadth of perspective on how to deliver programmes in different organisational contexts.

Your responsibilities

  • Coordinate research roadmaps and ensure proper documentation and milestone tracking across the organisation.

  • Manage cross-functional project timelines including wet lab validation programmes, ensuring alignment between ML research, biology, and engineering workstreams.

  • Oversee CRO, lab vendor and collaborator relationships, holding partners accountable to deliverables, timelines, and quality standards.

  • Maintain project management tools and ensure consistent capture of initiatives, decisions, and progress across all active programmes.

  • Identify and escalate risks, dependencies, and blockers, working with leadership to resolve issues and keep programmes on track.

  • Drive process improvements to enhance how the team plans, prioritises, and executes on its technical and scientific goals.

  • Report to Senior Leadership, ensuring visibility into progress, risks and key decisions.

  • As a member of the operations team, provide wider operational support where needed.

Apply

We offer strongly competitive compensation and benefits packages, including:

  • Private health insurance

  • Pension contributions

  • Generous leave policies (including gender neutral parental leave)

  • Hybrid working

  • Travel opportunities and more

We also offer a stimulating work environment, and the opportunity to shape the future of synthetic biology through the application of breakthrough generative models.

We welcome applicants from all backgrounds and we are committed to building a team that represents a variety of backgrounds, perspectives, and skills.

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