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Speculative Application - Science Roles

Whilst we do not have any current Science vacancies, we would love to receive your details, so we can reach out as soon as we start hiring again.

Location: Oxford, London or Cambridge Or Durham, North Carolina ~ with a blend of 40% in office, with the rest flexible to remote working.

About Us

We’re a pioneering health tech company on a mission to revolutionise the way we all understand and support our health. Our mission is simple: to help people, and those who care for them, make better decisions that lead to longer, fuller lives.

We focus on the common diseases that affect billions, the ones that put the greatest strain on our healthcare systems.Each person is unique, and by decoding the insights in our DNA, we’re building cutting-edge tools and platforms that enable truly personalised medicine. From prevention and early screening, to diagnosis, treatment, and even the development of new medicines – there is so much more to discover and build to support people at each step of their healthcare journey. With our leading science and brilliant partners, we can make healthcare smarter, more precise, and more personal. Our vision is bold: a world where everyone benefits from genomics.

If you’re inspired by the potential of cutting-edge science and technology – and want to have a real impact on the future of healthcare – we’d love to hear from you.

A Day in the Life

We tackle scientific challenges to harness genetic data for better human health. Working with a team of leading Scientists, you'll collaborate closely, employing innovative approaches to solve key questions and communicate findings. For instance, you might craft cutting-edge polygenic risk scores for clinical trial optimisation or discover novel therapeutic targets using advanced statistical methods. Success here means leveraging strong statistical genetics skills to analyse complex genomics data and effectively share insights

To be successful in this role, you will bring a strong foundation in statistical human genetics that you can apply in innovative ways, thrive on analysing genomics data using leading statistical approaches and take pride in sharing your findings with others to make meaningful insights into complex problems

Who You Are

  • Experience in performing foundational genetic association analyses (e.g., GWAS)

  • Competency in statistical programming (e.g., R, Python) sufficient to enable large-scale genomic data analysis

  • Experience utilizing a broad array of additional statistical genetic approaches (e.g., colocalization; fine-mapping; Mendelian Randomization) to drive insight.

  • Effective communicator (both spoken and written), who is able to disseminate findings with stakeholders

So what's in it for you?

  • Competitive compensation: Our salaries are externally benchmarked annually to ensure you receive compensation that aligns with the market. In addition, this role comes with an equity offering.

  • Generous Holiday Allowance: 25 days of annual leave, an additional 3-day company shutdown at the end of the year, plus bank holidays. More time for you to unwind and enjoy.

  • Invest in Your Future: Take advantage of our training and development opportunities, from regular training courses to access to a wide range of L&D materials. We're committed to helping you grow and succeed!

  • Wellbeing: Join a company that values you at work and outside work. We offer a range of benefits, including a pension that increases every year that you work here, comprehensive health insurance for you and your family, critical illness coverage, and life insurance. We also offer enhanced paid family leave.

  • An inclusive workplace: Genomics, we offer our 'Bank Your Bank Holiday' program, allowing you to exchange public holidays for dates that hold personal or cultural significance to you. It's our way of ensuring that every member of our community feels valued and included.

  • Charity giving: Make a difference with our payroll giving scheme. Donate to your favourite charities tax-free and help make the world a better place!

  • Green Commute: Join our cycle-to-work scheme and enjoy a healthier, eco-friendly commute. We are also conveniently located by major transport hubs so public transport is a snip. It's good for you and the planet!

Would you like to learn more? Great, we’d love to chat. Please reach out for more information and to see if this opportunity is right for you!

Genomics is dedicated to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, 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.


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CEO of Genomics
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Peter Donnelly
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Average salary estimate

$120000 / YEARLY (est.)
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$90000K
$150000K

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Full-time, hybrid
DATE POSTED
September 29, 2025
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