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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
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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 AlphaFold, RoseTTAFold, RFdiffusion, 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
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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.
Keywords: AI, Computational, Protein, Design, Designer, Engineering, Enzyme, Biology, Biophysics, Chemistry, Machine, Learning, Artificial, Intelligence, AlphaFold, RoseTTAFold, RFdiffusion, ProteinMPNN, Dynamics, Molecular, Modelling, Structural, Therapeutics, Bioinformatics, Python, GROMACS, OpenMM, Simulation, Drug, Research, Biotechnology
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