Product Manager - Data and Analytics

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The growth of Genomics is partnered with the personal growth of our people. We ensure that all employees have the tools, technologies, benefits, and support systems to develop and flourish. We offer a competitive package of benefits, training opportunities, and initiatives to ensure our employees thrive.

Our workforce operates across the UK and US from offices based in Oxford, UK, London, UK Cambridge, UK, and North Carolina, US. Our diversity and multinationalism, with our people hailing from over 30 countries, helps to bring together the best minds to harness the power of genomics and transform healthcare and drug discovery.

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London;
Oxford

Hybrid

Genomics Mystra

Location: Oxford or London (Hybrid)

The Mission:
Why We Exist

Genomics is a science-led transatlantic Tech Bio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. We are united by a single vision to help people live longer, healthier lives, using the power of genomics.

Genomics aims to help people live longer, healthier lives in two ways: super-charging drug discovery and development for novel treatments with our AI-enabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores - giving doctors and health systems the chance to get the right people into the right prevention, screening and treatment programmes at the right time.

Role Purpose

As Product Manager for Data and Analytics on Mystra, you'll be the bridge between ambition and execution, turning approved strategic initiatives into clear, scoped, buildable epics and features that engineers can run with and scientists can trust.

You’ll own the move from discovery to delivery. You’ll set out the why and the what so that the delivery team start every piece of work with total clarity, and then stay close as the person they turn to when priorities collide. Because Mystra is a scientific data platform, "done" means more than shipped. It means scientifically valid, technically sound, and tested against the criteria that matter to expert users.

A Day in the Life

Breaking down strategic initiatives into 2-4 well-scoped epics and features, with the reasoning behind every boundary written down

Pulling together user workflows, personas, edge cases, and constraints into a living "context document" your delivery team can rely on throughout execution

Working with Scientific SMEs to make sure requirements are scientifically sound, and with Data Services to understand ingestion capabilities and architectural constraints

Partnering with Engineering, Design, and User…