Geneticist Statistical

Job Description

Exciting opportunity for someone who can turn massive genetic datasets into real therapeutic insights. If you want to own the work end-to-end and see it matter keep reading.

Role:

• Process and analyse large-scale multi-omics and population-scale genetic data (GWAS summary stats molecular QTLs WGS/WES).
• Run post-GWAS integration colocalization Mendelian Randomization transcriptomic and proteomic data to identify high-confidence drug targets.
• Build and apply ML/deep learning models tailored for functional genomics.
• Design and maintain production-grade automated analysis pipelines.

Requirements:

• PhD or MSc in Statistical Genetics Computational Biology or Bioinformatics
• Hands-on experience with genetic association studies and multi-omics integration.
• Strong coding skills and a commitment to clean automated pipelines.
• Experience with deep learning architectures for genomics applications is a bonus

Interested candidates please submit your profile to for review. We will be in touch for initial discussion upon being shortlisted

EA Licence: 17S8795 EAP: R1108333