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Machine learning researcher

Oxford
Posted: 26 July
Offer description

We are hiring for a Machine Learning Researcher to join its growing R&D function. This is a unique opportunity to apply cutting-edge machine learning techniques to solve meaningful challenges in the molecular analysis and sequencing space. You’ll collaborate with cross-functional teams to help shape next-generation tools and approaches for analysing complex biological data. This Role Will Offer You: The chance to work at the forefront of scientific research and AI/ML innovation A highly collaborative, interdisciplinary team environment The opportunity to contribute to impactful projects in DNA/RNA/protein analysis A competitive salary and comprehensive benefits including performance bonuses, private healthcare, and a generous pension scheme A stunning campus location with landscaped surroundings and a strong mission-led culture Your Responsibilities: Develop and apply machine learning models to advance molecular sensing and biomolecule modelling Collaborate closely with scientists and engineers to drive innovation across sequencing technologies Create and optimise tools tailored to nanopore and bioinformatics applications Present research findings clearly to both technical and non-technical stakeholders Contribute to the deployment of robust, user-facing tools and pipelines You Will Need: A PhD (or equivalent experience) in a relevant field such as Computational Biology, Computer Science, Bioinformatics or similar Strong knowledge of biomolecular modelling, structural prediction, small molecule docking and/or biomolecule design Experience in prototyping and deploying algorithms in a scientific or engineering context Excellent communication and collaboration skills Strong programming skills and familiarity with software engineering best practices

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