Location: Research Triangle Park, NC ~ 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?
Salaries: Our salaries are externally benchmarked annually to ensure you receive compensation that aligns with the market.
Generous Holiday Allowance: 25 days of annual leave, an additional 3-day company shutdown at the end of the year, plus statutory US holidays. More time for you to unwind and enjoy.
Progression: We've got a straightforward and open progression framework that lets you easily see your strengths and areas where you can improve. With this knowledge, you can set personal goals to help you move up the career ladder.
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!
Remote Working: Prefer candidates located in Eastern or Central time zone; , the ability to work East Coast hours is Preferable
Wellbeing: We've got you covered: Enjoy 401k, medical insurance, a Health Savings Account, dental and vision plans, life/AD&D insurance, and disability coverage. Your well-being matters to us.
An inclusive workplace: 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.
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.
