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About the Role

We are seeking a highly motivated postdoc with proven research abilities and an excellent publication record to lead the development of a generative AI-based framework for designing novel metabolic systems. You will work closely with experimentalists to build a 'design-build-test-learn' pipeline through computational design and experimental validation.

Responsibilities

• Develop, apply, and iteratively refine protein/genomic language models to design novel protein variants informed by evolutionary and phenotypic data.
• Build computational pipelines linking sequence variation to predicted metabolic function.
• Establish a design-build-test-learn cycle in close collaboration with the experimentalist in the lab, who will test designed variants.
• Contribute to publications, conference presentations, and give strategic input into the wider direction of the lab's computational endeavours.

Requirements

• PhD (or in the final stages of PhD submission) in computational biology, evolutionary genomics, computer science, or a related field.
• Strong analytical, quantitative, and coding skills (particularly in Python).
• Experience handling and analysing large-scale biological datasets.
• Track record of writing papers as evidenced by publications or submitted manuscripts in refereed journals.
• Experience with computational protein design (desirable).
• Experience working with cloud/HPC environments, workflow orchestration or reproducible computational pipelines (desirable).

Skills

• Python
• Computational protein design
• Cloud/HPC environments
• Workflow orchestration
• Reproducible computational pipelines

Location

• UK

Work Type

• Full-time
• Fixed term (4 years)

Experience Level

• Postdoctoral

Education Level

• PhD

Salary/Compensations

• From £47,500

Benefits

• Visas: Applicants for this role will be eligible for sponsorship to work in the UK
• Generous Leave: 28 days of annual leave, plus three additional days over Christmas and bank holidays.
• Pension Scheme: Defined contribution pension with employer contributions of up to 16%.
• Health & Well-being: 24/7 GP consultation services, Occupational health services and mental health support programs, Eye care vouchers and discounted healthcare plans.
• Work-Life Balance: Back-up care for dependents, Childcare support allowance, Annual leave purchase options, Crick Networks offering diverse groups’ support, community and inclusive social events.
• Perks: Discounted gym memberships, bike-to-work scheme, and shopping discounts, Subsidised on-site restaurant and social spaces for team interaction.

About the Company

• The Francis Crick Institute is Europe’s largest biomedical research institute under one roof.
• Our world-class scientists and staff collaborate on vital research to help prevent, diagnose and treat illnesses such as cancer, heart disease, infectious diseases and neurodegenerative conditions.
• The Crick is a place for collaboration, innovation and exploration across many disciplines.
• A space where the brightest minds can pursue big and bold ideas and discover answers to crucial scientific questions.
• We support them in a dynamic environment which fosters excellence with state-of-the-art infrastructure, cutting-edge facilities, and a creative and curious culture.
• We’ve removed traditional boundaries of departments, divisions and disciplines and instead have an open approach that supports every researcher.
• This gives us the freedom to take risks and carry out high-quality, pioneering research.
• Creating a space for discovery without boundaries helps us to turn our science into benefits for human health and the economy.
• The Osipova lab is a new research lab opening at The Francis Crick Institute.
• We are focused on understanding how animals evolve a broad diversity of metabolic adaptations and how these biological innovations can be harnessed to engineer the next generation of metabolic systems.
• To achieve this, we are developing two complementary research programmes: Comparative genomics and high-throughput functional screening to identify genotype–phenotype relationships and reveal the molecular basis of metabolic innovation, and Generative AI-driven metabolic design, supported by experimental validation, to predict, create, and expand metabolic capabilities beyond those currently found in nature.
• Together, these approaches aim to build a generalisable framework that translates evolutionary insights into synthetic biology and redefines the limits of metabolism.

Equal Opportunity

• At the Francis Crick Institute, we believe that diversity and inclusion are essential to driving innovation and scientific discovery.
• We are committed to creating a workplace where everyone feels valued, respected, and empowered to succeed, regardless of their background, identity, or personal circumstances.
• We actively encourage applications from individuals of all genders, ethnicities, abilities, and experiences.
• We are a Disability Confident: Committed employer and want to ensure that everyone can apply and be part of our recruitment processes and so we'll make reasonable adjustments if you need them - just let us know when you apply.
• If you need assistance with applying (i.e., would like to apply by phone or post) please email: karen.au@crick.ac.uk