AI/ML Postdoc: Spatial Genomics & Clonal Interactions

Artificial Intelligence Jobs; Greater London; On-site; GBP 34,000 - 48,000; Full time

Job summary

The Francis Crick Institute in London is seeking an ambitious Postdoctoral Fellow to lead a cutting-edge computational project on driver mutation clones and their microenvironment in chronic liver disease and liver cancer.

Working across the Francis Crick Institute and the Wellcome Sanger Institute, you will apply state-of-the-art machine learning to large-scale spatial genomics data and collaborate with the Lotfollahi Lab on generative AI and foundation models for spatial and single-cell

Qualifications

• 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.

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.

Skills

Python programming

Deep learning

Interdisciplinary collaboration

Data analysis

Education

PhD (or near submission)

Computational biology/ML/CS

Tools

NumPy

Pandas

PyTorch

JAX

Job description

The Francis Crick Institute in London is seeking an ambitious Postdoctoral Fellow to lead a cutting-edge computational project on driver mutation clones and their microenvironment in chronic liver disease and liver cancer.

Working across the Francis Crick Institute and the Wellcome Sanger Institute, you will apply state-of-the-art machine learning to large-scale spatial genomics data and collaborate with the Lotfollahi Lab on generative AI and foundation models for spatial and single-cell