Research Engineer

Overview

Join us at EIT:
At the Ellison Institute of Technology (EIT), we're on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, policy makers, and entrepreneurs to tackle humanity's greatest challenges in four transformative areas:

• Health, Medical Science & Generative Biology
• Food Security & Sustainable Agriculture
• Climate Change & Managing CO₂
• Artificial Intelligence & Robotics

This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you'll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas for lab to society. Explore more .org.

We are looking for Research Engineers who will work with large-scale datasets from different modalities, including biomolecular data, such as proteins and DNA, 2D and 3D images or graph-structured data. You will design and implement advanced ML architectures and workflows encompassing multimodal generative models and physics-based modelling.

• 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

• 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

• Lead with empathy, curiosity, and clarity, modelling the behaviours that help others do their best work
• Set clear goals, ways of working, and measures of success that create alignment while protecting autonomy and creativity
• Invest in people s growth and wellbeing through regular feedback, coaching, and opportunities to stretch and learn
• Create an inclusive environment where diverse perspectives are welcomed, debate is constructive, and people feel safe to challenge ideas
• Make fair, thoughtful decisions around work allocation, recognition, hiring, and performance, using consistent and bias-aware approaches aligned with EIT s values and Diversity, Equity, and Inclusion (DEI) commitments

• Enhanced holiday pay
• Pension
• Life Assurance
• Income Protection
• Private Medical Insurance
• Hospital Cash Plan
• Therapy Services
• Perk Box
• Electric Car Scheme

• You must have the right to work permanently in the UK with a willingness to travel as necessary
• You will live in, or within easy commuting distance of, Oxford