Location
London | United Kingdom
Job description
About Us
We're a pioneering health tech company that aims to revolutionise the future of healthcare.. We're all about enhancing the patient journey, particularly for those common diseases that affect most people and take up most of our precious healthcare resources.
Our secret weapon? Genomics! We use it to power our tools and systems, improving every step of the patient pathway. From preventing diseases to screening, diagnosing, treating, and even developing new medicines - we've got it covered.
But we're not stopping there. Our vision is a world where everyone benefits from our genomic technology, helping folks and entire populations to live longer, healthier lives. So, if that all sounds exciting, come join us!
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; PRS)
- 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 insights
- Experience with methods development within statistical genetics
- Effective communicator (both spoken and written), who is able to disseminate findings with stakeholders
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