Product Manager - Data and Analytics

Posted 5 Days Ago
Be an Early Applicant
2 Locations
Hybrid
Entry level
Biotech
The Role
Owns product delivery for a scientific genomics data and analytics platform. Translates strategic initiatives into scoped epics and features, defines requirements and success criteria, collaborates with scientists, data services, engineering, design, and research, and makes prioritization decisions throughout delivery. Requires strong genomic data fluency, including GWAS, p-values, effect sizes, population diversity, and statistical genetics workflows.
Summary Generated by Built In

Location: Oxford or London (Hybrid)

The Mission: Why We Exist

Genomics is a science-led transatlantic TechBio 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 Research to check that what you're asking for is feasible, coherent, and grounded in real customer need

  • Running delivery kick-offs and bi-weekly check-ins, answering questions quickly, and making clear, well-reasoned prioritisation calls so the team keeps moving

  • Spotting recurring ambiguities and feeding them back to the Director of Product Management, so the next initiative starts sharper

Who You Are

  • Fluency with genomic data is a must. You can read a GWAS paper, know what a p-value is telling you, think about effect sizes and population diversity, and recognise data and analytics needs of a statistical geneticist.

  • Experience in product management or product ownership. You will be involved in writing strong requirements, working across functions, and weighing trade-offs

  • The ability to define features with clear "done" criteria and to leave story-level detail to your delivery team

  • Decisiveness and an execution mindset. You make the call and keep the team moving without becoming a bottleneck

  • Clear, direct communication, written and spoken, with engineers, scientists, designers, and product leadership alike

Your Package

We are committed to providing a transparent, supportive, and rewarding work environment.

Compensation & Growth

  • Competitive Reward: Salaries are externally benchmarked annually to ensure market-aligned compensation.

  • Clear Career Path: A straightforward, open progression framework means you'll always know the path to promotion and how to achieve your next career goal.

  • Continuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success.

Wellbeing & Time Off

  • Holiday: 25 days annual leave, plus bank holidays, plus an extra 3-day company-wide shutdown at year-end.

  • Financial & Health Security: Robust benefits including a market-leading pension scheme, comprehensive private health insurance for you and your family with NO excess, critical illness, and life assurance.

  • Enhanced Leave: Enhanced paid family leave to support all new parents.

Work Environment & Culture

  • Hybrid Working

  • Truly Inclusive Time Off: Our 'Bank Your Bank Holiday' program allows you to exchange public holidays for dates that hold personal or cultural significance to you.

  • Vibrant Social Culture: From regular Town Halls and team picnics to organised sports events, our social committee ensures frequent opportunities to connect and celebrate.

  • Green Commute: Cycle-to-Work scheme and convenient office locations near major transport hubs.

Ready to Build the Future?

If this opportunity excites you, apply now!

We are dedicated to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Genomics politely requests no contact from recruitment agencies. We do not accept speculative CVs from recruitment agencies nor accept the fees associated with them.

Skills Required

  • Fluency with genomic data, including the ability to read GWAS papers, interpret p-values and effect sizes, understand population diversity, and recognize statistical geneticists' data and analytics needs.
  • Experience in product management or product ownership.
  • Ability to write strong requirements and define features with clear completion criteria.
  • Ability to work cross-functionally with engineers, scientists, designers, researchers, and product leadership.
  • Decisive execution mindset with strong prioritization and trade-off decision-making skills.
  • Clear, direct written and verbal communication skills.
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The Company
HQ: Oxford
164 Employees
Year Founded: 2014

What We Do

We are a pioneering healthcare company that aims to transform health through the power of genomics. The company was formed in 2014 by four world-leading statistical and human geneticists at the University of Oxford, including Professor Sir Peter Donnelly and Professor Gil McVean. We use large-scale genetic information to realise preventative medicine and improve drug discovery. We're a world-leader in genomic prevention: a paradigm-changing approach to sustainable healthcare which for the first time allows reliable, personalised estimates of risk for all the common diseases and cancers, well ahead of disease manifestation, allowing accurate and early interventions and tailored screening. Our proprietary algorithms and databases offer something no competitor can: the ability to accurately link minute variation across the entire genome to changes in thousands of biological measurements and disease outcomes, to generate population-level insights for healthcare systems, individual-level insights for clinicians about the risk of common diseases, and new understanding of disease processes. In August 2018, we announced a multi-year collaboration with Vertex to use human genetics and data science to advance discovery of precision medicines. We also have several pilot programmes in development within UK and US healthcare systems. Our team is a multi-disciplinary group focused on finding powerful and creative solutions for bringing subject-leading science to as wide an audience as possible, and, in doing so, offer the chance of transforming lives around the world. The workforce is highly qualified and consists of over 150 people, including genomic scientists, computational biologists, statisticians, software engineers, product developers, data scientists and commercial strategists. We are headquartered in Oxford, with offices in Cambridge (UK), London (UK), and Boston (US).

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