Biotechnology Jobs in Exeter

• Exeter
• Entry level
• Contract

Computational PhD project using cell-free DNA sequencing to infer placental gene activity and dissect how genetic variants linked to adverse pregnancy outcomes affect placental function. The student develops tools to map nucleosomal footprints, integrates them with single-cell RNA-seq markers and GWAS summary statistics, and may generate new plasma data.

scRNA-seq · cfDNA Sequencing · GWAS

• Exeter
• Entry level
• Contract

A cross-institutional PhD studentship analysing whole genome sequencing data from millions of individuals across UK Biobank, All of Us and Our Future Health to identify rare causal variants for musculoskeletal disorders, then functionally validating them in human cell and tissue models using CRISPR-Cas9, transcriptomics and cellular phenotyping. Split between computational genomics at Exeter and laboratory work at Oxford, it develops a dual skill set in statistical genetics and experimental validation.

UK Biobank · All of Us · Our Future Health +4

• Exeter
• £21,805 pa
• Entry level
• Contract

A PhD studentship developing and applying multiplexed Variable Dose Analysis (mVDA) to map genetic interactions in human cells, adapting the technology from Drosophila. The student will integrate mVDA with live-cell microscopy or single-cell sequencing and apply the platform to investigate NF1-associated gene networks, working across functional genomics, imaging, bioinformatics and statistics.

CRISPR · mVDA · Drosophila

• Exeter
• £21,805 pa
• Entry level
• Contract

An interdisciplinary PhD studentship combining computational genomics at Exeter with stem-cell biology and CRISPR editing at Cambridge. The student will analyse whole-genome sequencing data from large multi-ancestry cohorts, integrate genetic signals with epigenetic maps and AI tools like AlphaGenome, and build iPSC-derived visceral and subcutaneous adipocyte models to functionally test prioritised regulatory variants.

AlphaGenome · DNANexus · Flow Cytometry +1

• Exeter
• £21,805 pa
• Entry level
• Contract

Applies genetic clustering to severe mental illness traits to find biologically distinct risk components affecting obesity and type 2 diabetes, using GWAS data and population biobanks. Integrates single-cell multiomic datasets to map risk pathways to neuronal and glial cell types, with CRISPR-based functional work. Multidisciplinary training in statistical genetics, bioinformatics and functional genomics.

CRISPR · GWAS