Our client is a seed stage TechBio (£2.7m funding) building a platform solution for identifying drug targets for neurological diseases with in-vitro validation.

About the role:

Lead computational biology strategy for target identification in neurology, combining hands-on pipeline development with scientific leadership and cross-functional collaboration.

Key Responsibilities

• Lead QTL mapping and integrate multi-omics / functional genomics for target prioritisation
• Build and own multi-omics pipelines (QC, normalisation, analysis)
• Collaborate with ML engineers on model design, feature selection, training, evaluation, interpretation
• Define and maintain knowledge graph schemas and computational evidence layers
• Translate outputs into biological hypotheses and support in vitro validation & assay design

Requirements

• PhD + 3 to 5 years in computational biology (multi-omic target discovery)
• Strong Python, R, HPC/cloud computing
• Experience with transcriptomics, proteomics, epigenomics
• Proven work in target discovery, prioritisation, in silico validation
• Strong statistical analysis & data visualisation
• Neurology / neurodegeneration experience (preferred)
• Biotech/pharma background + strong communication & problem-solving

Summary

Hands-on role driving multi-omics target discovery, integrating ML and data platforms, and working closely with experimental teams in a neurology-focused biotech.

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