Job Title
AI/ML Postdoctoral Fellow – F Rouhani Lab
Overview
The Francis Crick Institute is Europe’s largest biomedical research institute, offering a collaborative environment for cutting‑edge science. The Tissue Regeneration and Clonal Evolution (TRCE) laboratory focuses on organ regeneration and its therapeutic potential using stem‑cell biology, spatial genomics, AI/ML and computational biology.
About the Role
We are seeking an ambitious Postdoctoral Fellow to lead a computational project investigating how driver mutation clones interact with their microenvironment in chronic liver disease and liver cancer. This cross‑institutional role involves close collaboration between the Francis Crick Institute and the Wellcome Sanger Institute, with frequent interaction with the Lotfollahi Lab.
What you’ll be doing
- Developing advanced AI/ML methods for analysing spatial genomics and histology datasets.
- Applying graph neural networks, transformer models and generative AI approaches to study clone‑microenvironment interactions.
- Integrating spatial transcriptomics, single‑cell sequencing and imaging datasets.
- Designing benchmarking strategies and reproducible computational workflows.
- Performing clonal reconstruction and spatial mapping analyses from genomic datasets.
- Collaborating closely with computational scientists, clinicians and experimental researchers across the Crick and Sanger Institute.
- Leading publications, conference presentations and dissemination of research findings.
Essential Criteria
- PhD (or near submission) in computational biology, machine learning, computer science, statistics or a related quantitative discipline.
- Experience developing and applying deep learning or AI/ML methods to complex scientific datasets.
- Strong programming and scientific computing skills in Python (e.g., numpy, pandas, PyTorch and/or JAX).
- Experience analysing complex biological, imaging or spatial datasets, or strong evidence of rapidly adapting to new data domains.
- Excellent communication, organisational and collaborative working skills.
- Ability to work effectively within interdisciplinary and cross‑institutional research teams.
Desirable
- Experience with spatial transcriptomics or single‑cell genomics analysis.
- Familiarity with graph neural networks, transformers, generative AI or foundation models.
- Experience working with cloud/HPC environments, workflow orchestration or reproducible computational pipelines.
- Publications or presentations at leading computational biology or machine learning conferences.
- Interest in cancer biology, tissue regeneration or translational genomics.
Benefits
- Visas – 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 with employer contributions of up to 16%.
- Health & well‑being – 24/7 GP consultation services, occupational health services, mental health support, 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 group support and inclusive social events.
- Perks – discounted gym memberships, bike‑to‑work scheme, shopping discounts, subsidised on‑site restaurant and social spaces, career support (Post‑doc to PI programme).
Information for Candidates
This role is full‑time, fixed‑term (4 years) on Crick terms and conditions. It reports to Foad Rouhani, Group Leader. The application deadline is 6th July 2026. Salaries start from £47,500 with benefits, subject to skills and experience.
We actively encourage diversity and inclusion and are a Disability Confident employer. Applications are welcome from individuals of all genders, ethnicities, abilities and experiences.
Please note you must meet the essential criteria to have your application reviewed.
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