Overview
The Ellison Institute of Technology (EIT) Oxford aims to reimagine how science and technology translate into end-to-end solutions, delivering programmes and platforms that address humanity’s most challenging problems. EIT Oxford will turn scientific discoveries into products for societal benefit, with potential for worldwide impact and long-term sustainability through eventual commercialisation. The institute focuses on four humane endeavours: 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 in the Oxford Science Park is under construction, with completion planned for 2027. The campus includes 300,000 sq ft of laboratories, an oncology and preventative care clinic, and educational and meeting spaces to support ground-breaking ideas from research to broad implementation. EIT Oxford is dedicated to fostering a collaborative, trusted, innovative, and tenacious community that values diverse experience and expertise.
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, or 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
* Work with domain specialists to incorporate wet lab data and HPC simulations
* Help to 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 modelling and pipeline optimization for large-scale experiments
* Ability to collaborate effectively with multidisciplinary teams and communicate complex concepts clearly
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* IT Services and IT Consulting
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