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AI Protein Design Lead

Remote / Online - Candidates ideally in
London, Greater London, W1B, England, UK
Listing for: Hays Life Sciences
Full Time, Remote/Work from Home position
Listed on 2026-07-24
Job specializations:
  • Research/Development
    Research Scientist, Biomedical Science, Biotech Research, Drug Discovery
Job Description & How to Apply Below
Your new company
You'll be joining an exciting early-stage biotechnology company in London developing next-generation therapeutics. You'll work in a highly collaborative environment at the intersection of computational biology, machine learning, structural biology, and protein engineering, helping to shape a core capability within the business.
You'll be joining them as they go into their next phase of growth, with plenty of opportunities for development and progression.

Your new role
This is a permanent position, based in London but with home working flexibility and you'll report into the CTO.
A key part of this role is driving the design and optimisation of therapeutic proteins using state-of-the-art AI models, physics-based approaches, and structural biology insights.

Key responsibilities include:

Applying AI-driven protein structure prediction and design tools to generate and prioritise novel protein variants
Using energetic, structural, and conformational principles to improve protein stability, function, and design success rates
Designing and optimising proteins and enzymes using computational modelling approaches
Applying molecular dynamics simulations and related methods to understand protein behaviour and conformational landscapes
Translating computational designs into testable constructs for experimental validation
Working closely with internal scientists and external CRO partners to iterate and improve designs based on experimental results
Developing and maintaining protein design, modelling, and analysis workflows
Supporting the integration of structural, computational, and experimental datasets to accelerate therapeutic development

What you'll need to succeed
A successful candidate will combine deep computational expertise with a strong understanding of protein structure and experimental validation:

PhD (or equivalent experience) in Computational Biology, Computational Chemistry, Biophysics, Machine Learning, Structural Biology, or a related field
Strong experience with protein structure prediction and design platforms such as Alpha Fold, RoseTTAFold, RF diffusion, ProteinMPNN, ESMFold, or similar, preferably within the biotech / pharma industry
Experience in computational protein engineering, ideally including enzyme design and optimisation
Hands-on experience with molecular dynamics simulations (GROMACS, OpenMM, AMBER, NAMD, or similar)
Strong Python programming skills and experience with scientific computing frameworks
Ability to combine AI-enabled approaches with physics-based reasoning and energetic modelling
Experience working alongside wet-lab scientists and/or CRO partners to validate and refine computational designs
Comfortable operating within a small, fast-paced biotech environment with significant ownership and autonomy

What you'll get in return
As well as an excellent salary package you'll also get a chance to make a significant impact on the company's cutting-edge research and further develop your career as they continue to grow.

What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.
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