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About the Role

We are seeking an ambitious Postdoctoral Fellow to lead a cutting-edge computational project investigating how driver mutation clones interact with their microenvironment in chronic liver disease and liver cancer. This is a highly collaborative and cross-institutional role between the Francis Crick Institute and the Wellcome Sanger Institute. Working closely with the Lotfollahi Lab – leaders in generative AI and foundation models for spatial and single-cell genomics – you will develop and apply state-of-the-art machine learning approaches to large-scale spatial genomics and multi-modal biological datasets. The successful candidate will be embedded across both institutes, benefiting from joint supervision, collaborative meetings and access to world-leading expertise, datasets, computational infrastructure and scientific networks.

Responsibilities

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.

Requirements

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.

Skills

AI/ML
Generative AI
Foundation models
Spatial genomics
Single-cell genomics
Graph neural networks
Transformer models
Python
Numpy
Pandas
PyTorch
JAX
Computational biology
Machine learning
Computer science
Statistics
Quantitative disciplines

Location

United Kingdom

Work Type

Full-time
Fixed term (4 years)

Experience Level

Postdoctoral

Education Level

Salary/Compensations

From £47,500

Benefits

28 days of annual leave, plus three additional days over Christmas and bank holidays.
Defined contribution pension with employer contributions of up to 16%.
24/7 GP consultation services.
Occupational health services and mental health support programs.
Eye care vouchers and discounted healthcare plans.
Back-up care for dependents.
Childcare support allowance.
Annual leave purchase options.
Crick Networks offering diverse groups’ support, community and inclusive social events.
Discounted gym memberships, bike-to-work scheme, and shopping discounts.
Subsidised on-site restaurant and social spaces for team interaction.
Post-doc to PI programme and other career development activities.
Visa sponsorship

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 Tissue Regeneration and Clonal Evolution (TRCE) laboratory is a multidisciplinary research group focused on understanding how organs regenerate and how this knowledge can be harnessed to develop future therapies. Using the liver as a model system, the lab combines stem cell biology, spatial genomics, AI/ML, single-cell technologies and computational biology to study how mutant cell populations interact with their surrounding tissue environment during regeneration, ageing and cancer development.
The Francis Crick Institute is a biomedical discovery institute researching the biology underlying human health. At the Crick, scientists and staff collaborate to stretch the very limits of what we know about how life works. Our work is helping to understand why disease develops and to translate discoveries into new ways to prevent, diagnose and treat illnesses such as cancer, heart disease, stroke, infections and neurodegenerative diseases. The Francis Crick Institute is a charity, founded by the Medical Research Council, Cancer Research UK, Wellcome, UCL (University College London), Imperial College London and King’s College London.

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.