Biomedical jobs in Oxfordshire
- GenomicsHybrid work in Oxford
- With the team’s support, you will develop and execute innovative and rigorous scientific approaches, and will effectively communicate findings to both internal…
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- PerspectumOxford OX4 2LL
- The Data Scientist helps develop methods to accelerate and scale new and existing workflows, leveraging machine learning techniques for improved use of data…
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- Caristo DiagnosticsOxford OX2 0HP
- Caristo's technology depends on the accurate and reliable quantitative assessment of cardiac CT scans.
- You will join a small, highly collaborative Product…
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- DiagnexiaKidlington OX5 1LH
- Travel may be very rarely required, on an ad hoc basis.
- Competitive salary with annual performance-based increases.
- Proof of CPD and competency (Mandatory).
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- DiagnexiaKidlington OX5 1LH
- Travel may be very rarely required, on an ad hoc basis.
- Sign on bonus - generous sign on bonus payable when you join.
- Experience in Category D&E a huge bonus.
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- ConvatecAbingdon OX14 4SE
- Overseeing the implementation, optimisation, and ongoing governance of technical processes, systems and equipment to ensure operational excellence and full…
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- DeciphexOxford
- Travel may be very rarely required, on an ad hoc basis.
- Sign on bonus - generous sign on bonus payable when you join.
- Experience in Category D&E a huge bonus.
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- DeciphexOxford
- Travel may be very rarely required, on an ad hoc basis.
- Competitive salary with annual performance-based increases.
- Proof of CPD and competency (Mandatory).
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- Buckinghamshire Healthcare NHS TrustAylesbury HP21 8AL
- A forward thinking service aiming to be trusted partner, driving the adoption of new technology such as integrated infusion systems with Drug Error Reduction…
- University of OxfordOxford OX3
- Your research in stroke may link with a broad range of clinical sub-specialties, including cardiovascular, metabolic medicine, haematology, immunology and…
- University of OxfordOxford OX3
- Your research in stroke may link with a broad range of clinical sub-specialties, including cardiovascular, metabolic medicine, haematology, immunology and…
- University of OxfordOxford OX3 7BN
- Working with Dr Thomas Agbaedeng under the overall direction of Professor Trey Ideker, you will establish and maintain mammalian cell systems and support…
- University of OxfordOxford OX3 7LF
- Applicants with strong methodological ML backgrounds are encouraged to apply, including those wishing to enter biomedical research for the first time.
- University of OxfordOxford OX3 7FZ
- Interest in supporting business operations in biomedical start-ups.
- As an Apprentice Receptionist and Administration Assistant, you will be a key member of the…
- University of OxfordOxford OX3 7LF
- Grade 9: £57,721 - £66,608 per annum including Oxford Weighting Allowance.
- Oxford Population Health (the Nuffield Department of Population Health) provides an…
- University of OxfordOxford OX3
- CPSD is situated within a purpose-built research centre on the John Radcliffe site, providing office space, clinical research rooms and laboratories to support…
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Job Post Details
Scientist
Job details
Full job description
Location: Oxford or London (Hybrid)
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:
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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.
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Apply and optimise risk tools for patient stratification that combine genetic information (through polygenic risk scores) with conventional risk factors, to find those individuals most at risk of disease onset or progression and those most likely to benefit from particular therapies.
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:
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Statistics (modelling, regression)
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Genetics and molecular biology
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Statistical programming (e.g., Python or R)
Preferred:
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Experience using a broad array of statistical genetics approaches (e.g., GWAS, colocalization, fine-mapping, Mendelian randomization, polygenic risk scores)
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Experience defining phenotypes from electronic health records.
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Knowledge of Bayesian inference, high dimensional statistics, causal inference.
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Experience with software engineering practices (version control [Git & GitHub], testing, documentation, agentic coding, containerisation)
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Experience building and running reproducible pipelines e.g., using WDL, Snakemake, or NextFlow.
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Experience using cloud computing and trusted research environments e.g. DNAnexus or Verily Workbench.
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Experience with methods development within statistical genetics
Your Package
We are committed to providing a transparent, supportive, and rewarding work environment.
Compensation & Growth
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Competitive Salary: Salaries are externally benchmarked annually to ensure competitive compensation.
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Clear Career Path: A straightforward, open progression framework means you'll always know the path to promotion and how to achieve your next career goal.
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Continuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success.
Wellbeing & Time Off
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Holiday: 25 days annual leave, plus bank holidays, plus an extra 3-day company-wide shutdown at year-end.
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Financial & Health Security: Robust benefits including a market-leading pension scheme, comprehensive private health insurance for you and your family with NO excess, critical illness, and life assurance.
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Enhanced Leave: Enhanced paid family leave to support all new parents.
Work Environment & Culture
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Flexible Working: Hybrid Working (e.g., From our London, Oxford Office)
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Truly Inclusive Time Off: Our 'Bank Your Bank Holiday' program allows you to exchange public holidays for dates that hold personal or cultural significance to you.
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Vibrant Social Culture: From regular Town Halls and team picnics to organised sports events, our social committee ensures frequent opportunities to connect and celebrate.
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Green Commute: Cycle-to-Work scheme and convenient office locations near major transport hubs.
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.