Genomics · Research Triangle Park
Early-career Scientist on the Life Sciences team at Genomics, working on therapeutic target discovery and patient stratification using genomic and health data. Work involves statistical genetics methods (GWAS, colocalization, fine-mapping, PRS) and pipelines in Python or R, WDL/Snakemake/NextFlow, and cloud trusted research environments.
Location: Hybrid from our RTP office
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.
A Day in the Life
At Genomics, we tackle major scientific challenges in harnessing genomic data to improve human health.
This role is part of the Life Sciences team, working on a range of challenges spanning the therapeutic development cycle – including discovering and validating therapeutic targets and developing patient stratification strategies. The Scientist is an early-career member of the team, who will thrive in a highly collaborative team environment. With the team’s support, you will develop and execute innovative and rigorous scientific approaches, and will effectively communicate findings to both internal and external stakeholders.
For example, a Scientist may:
To be successful in this role, you will: bring a strong foundation in the application of statistical and computational techniques in biomedical science that you can apply in innovative ways, thrive on analysing vast and diverse sources of ‘omic data using leading statistical or AI/ML approaches to make meaningful insights into complex problems, and take pride in effectively sharing your findings with others.
Who You Are
Must have, solid foundations in:
Preferred:
Your Package
We are committed to providing a transparent, supportive, and rewarding work environment.
Wellbeing & Time Off
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.