Research Engineer

About the role

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 at www.eit.org . We are currently hiring for multiple positions across multiple specialised tracks. This team works at multi-scale level, from molecules to patient-level data, utilizing large-scale datasets-including proteins, DNA, EHR and medical images-to design advanced ML architectures for healthcare and biological discovery. Focus: Multimodal generative models (LLMs, diffusion, flows) across patient and biomolecular datasets,physics-based molecular modelling. Key Challenge: Building scalable ML systems that incorporate various sources of data, long contexts and HPC simulations to solve complex biological modelling problems. Ideal Background: Proficiency in GPU-based computing , with an advanced degree in CS, Physics, Chemistry, or Materials Science. Core Responsibilities Regardless of the track, you will be expected to: Design & Deploy: Build, train, and optimize advanced ML architectures and foundation models. Bridge the Gap: Translate high-level research ideas into scalable, reliable, and reproducible systems. Collaborate: Work in cross-disciplinary squads alongside roboticists, biologists, data domain experts and software architects. Execute: Maintain high standards of code quality and drive the technical implementation of mission-critical projects. Qualifications & Skills Universal Requirements: Degree in Computer Science, Physics, Chemistry, or Materials Science with a strong ML focus. A strong bias toward execution and impact in a mission-driven environment. Mastery of deep learning frameworks (e.g., PyTorch) and experience delivering large-scale AI projects. Exceptional communication skills to bridge the gap between technical and non-technical stakeholders. Track-Specific Expertise: Experience with biomolecular datasets, medical and life science imaging datasets, HPC integrations, and distributed system architectures, biomolecular modelling. We offer the following salary and benefits: Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme --

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