Computational Biology Jobs in Oxfordshire

2 of 2 Computational Biology Jobs in Oxfordshire

Head of Scientific Compute (Generative Biology Institute)

Oxford, Oxfordshire, United Kingdom
Ellison Institute of Technology
spaces to strengthen its partnership with the University of Oxford. It will also host the Ellison Scholars, driving innovation for societal benefit. The Generative Biology Institute (GBI) at the Ellison Institute of Technology (EIT) Oxford aims to overcome two major challenges in making biology engineerable: 1) the ability … entire genomes, and 2) understanding which DNA sequences will create biological systems that perform desired functions. Solving these challenges will unlock the potential of biology for transformative solutions in health, sustainability, agriculture, and more. GBI will house 30 groups and over 300 researchers, supported by cutting-edge facilities and … sustained funding to address global challenges and advance biology engineering. EIT Oxford fosters a culture of collaboration, innovation, and resilience, valuing diverse expertise to drive sustainable solutions to humanity's enduring challenges. GBI is looking for a Head of Scientific Compute to shape the future of computational research More ❯
Employment Type: Permanent
Salary: GBP Annual
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Bioinformatician

Oxford, England, United Kingdom
In Technology Group
cutting-edge leader in medical and drug discovery, harnessing the power of bioinformatics to drive breakthroughs in healthcare. If you're passionate about using computational methods to solve complex biological problems and contribute to the future of medicine, we want to hear from you. Role Overview: As a Bioinformatician … you'll work at the intersection of biology, data science, and drug discovery. You’ll analyze large-scale genomic, clinical, and molecular datasets to extract meaningful insights that fuel innovation in biomedical research. Collaborating closely with data scientists, machine learning engineers, and scientific experts, your work will have a … driven experiments and interpret results. Use bioinformatics software and databases to uncover insights into disease mechanisms and potential therapeutic targets. Apply statistical models and computational methods to identify biomarkers, drug targets, and other key biological insights. Stay up-to-date with the latest bioinformatics techniques, software, and trends in More ❯
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