PhD: Lab-in-the-Loop ML for Pancreatic Cancer GI

University of Exeter; Exeter; On-site; GBP 20,000 - 24,000; Full time

Benefits offered by this job

Funded PhD studentship

Job summary

The University of Exeter invites applications for a fully funded PhD studentship in computational genomics focusing on genetic interactions in cancer. The project combines machine learning with perturb-seq data to build prediction models and test them in pancreatic cancer contexts, in collaboration with the FGC and AstraZeneca/Cancer Research Horizons.

The successful candidate will work on scalable architectures, HPC workflows, and rigorous evaluation protocols, contributing to open-source

Qualifications

• Strong background in machine learning applied to genomics.
• Experience with CRISPR/genomics data analysis.
• Experience with HPC environments and large datasets.

Responsibilities

• Develop GI prediction models using perturb-seq data.
• Evaluate graph neural networks, autoencoders, and other architectures for joint gene embeddings.
• Assess scalability to genome-wide prediction and generalisation across cancer types.
• Collaborate in a lab-in-the-loop cycle with wet-lab partners for pancreatic cancer data.

Skills

Genomics data analysis

Machine learning

CRISPR genomics

Single-cell sequencing

High performance computing

Education

PhD in genomics / bioinformatics

Tools

Python

R

PyTorch

TensorFlow

Jupyter

Job description

The University of Exeter invites applications for a fully funded PhD studentship in computational genomics focusing on genetic interactions in cancer. The project combines machine learning with perturb-seq data to build prediction models and test them in pancreatic cancer contexts, in collaboration with the FGC and AstraZeneca/Cancer Research Horizons.

The successful candidate will work on scalable architectures, HPC workflows, and rigorous evaluation protocols, contributing to open-source