The Ellison Institute of Technology (EIT) Oxford's purpose is to have a global impact by reimagining how science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to humanity's most challenging problems. EIT Oxford will turn scientific discoveries into products for the benefit of society, with potential for long-term sustainability through commercialisation. Led by world-class experts, EIT Oxford seeks to address four high-impact areas: health and medical science; food security and sustainable agriculture; climate change and clean energy; and government innovation in an era of artificial intelligence. A new world-class research and development facility is being built in the Oxford Science Park, with completion planned for 2027. The campus will include 300,000 sq ft of research laboratories, an oncology and preventative care clinic, and educational and meeting spaces. It will support EIT Oxford's partnership with the University of Oxford and become the home for Ellison Scholars. EIT Oxford is committed to a collaborative, trustworthy, innovative and tenacious community where everyone’s experience and expertise is valued.
Job Summary
We are looking for Research Engineers who will work with large-scale datasets from multiple modalities, including biomolecular data (proteins and DNA), 2D and 3D images, and graph-structured data. You will design and implement advanced ML architectures and workflows, including multimodal generative models and physics-based modelling.
Responsibilities
* Design and implement advanced ML architectures
* Develop robust model evaluation pipelines
* Optimize model architectures for performance and reliability
* Drive best practices in code quality, reproducibility, and collaboration
* Build and maintain large-scale ML systems that process biomolecule datasets
* Collaborate with domain specialists to incorporate wet lab data and HPC simulations
* Help build and maintain large-scale generative models of molecular data
Qualifications
* Advanced degree in Computer Science, Physics, Chemistry, or Materials Science with a strong ML focus
* Hands-on experience in GPU-based computing, HPC integrations, and distributed system architectures
* Proficiency with deep learning frameworks (e.g. PyTorch) and scientific software (e.g., molecular simulation)
* Strong understanding of data modeling and pipeline optimization for large-scale experiments
* Ability to collaborate effectively with multidisciplinary teams and communicate complex concepts clearly
Details
* Seniority level: Mid-Senior level
* Employment type: Full-time
* Job function: IT Services and IT Consulting
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Oxford, England, United Kingdom
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