Scientist, Data Scientist

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The growth of Genomics is partnered with the personal growth of our people. We ensure that all employees have the tools, technologies, benefits, and support systems to develop and flourish. We offer a competitive package of benefits, training opportunities, and initiatives to ensure our employees thrive.

Our workforce operates across the UK and US from offices based in Oxford, UK, London, UK Cambridge, UK, and North Carolina, US.

Our diversity and multinationalism, with our people hailing from over 30 countries, helps to bring together the best minds to harness the power of genomics and transform healthcare and drug discovery.

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Genomics Science

Location: Hybrid from our RTP office

The Mission:
Why We Exist

Genomics is a science-led transatlantic Tech Bio 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:

Generate novel therapeutic hypothesis for diseases with unmet need, mining the in-house data resources using statistical approaches to understand the causal pathophysiology of disease, identify and triage potential targets with genetic evidence, and build a rich understanding of the cell types, cellular function, tissue-level characteristics, patient populations and biomarkers needed to support a development program.

Apply and optimise risk tools for patient stratification that combine genetic information (through polygenic risk scores) with conventional…