Statistical Geneticist - ML

Wenham Carter are partnered with a cutting-edge techbio, on a mission to model health resilience, unlocking novel therapies . Combining large-scale human genetics, multi‑omics, and AI, they are driving target discovery and accelerating drug development in partnership with leading pharma companies.

They are hiring a Statistical Geneticist with a strong analytical background to a key role in their genetics‑driven causal AI platform:

Responsibilities

• Lead GWAS, PheWAS, PRS, rare variant and post‑GWAS analyses
• Integrate multi‑omics QTL data (eQTL, pQTL, mQTL) for gene prioritisation and causal inference
• Working with and Apply ML‑derived and continuous phenotypes to enhance genetic discovery
• Build scalable, reproducible pipelines for population-scale datasets
• Work cross‑functionally with ML, biology, and engineering teams to drive drug discovery decisions

What we’re looking for

• MSc or PhD in Statistical Genetics, Bioinformatics, Biostatistics, or similar. First authorships on published papers particularly interesting
• Hands-on experience with large-scale genetic datasets
• Demonstrated skills & experience in Python/PyTorch, R, Unix/Linux, and GWAS methodologies
• Experience with HPC or cloud computing
• Experience in deep learning or ML.

Please apply with an updated CV to be considered for the position. Be prepared to talk through your skills and experience which aligns with the position.