At a Glance
- Tasks: Lead groundbreaking analyses in genetics and collaborate with diverse teams to drive drug discovery.
- Company: Cutting-edge Biotech focused on health resilience and novel therapies.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic work environment with a focus on innovation and collaboration.
- Why this job: Join a mission-driven team using AI to revolutionise drug development and make a real impact.
- Qualifications: MSc or PhD in relevant fields with proven experience in GWAS and machine learning.
The predicted salary is between 80000 - 100000 £ per year.
We are partnered with a cutting-edge Biotech who are researching and modelling health resilience, unlocking novel therapies. Combining large-scale human genetics, multi‑omics, and AI, our client is driving target discovery and accelerating drug development in partnership with leading pharma companies. They are hiring a Statistical Geneticist with Machine Learning experience to contribute to 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
- 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
- Requirements
- MSc or PhD in Statistical Genetics, Bioinformatics, Biostatistics, Computational Bio or similar.
- Clear evidence of GWAS ownership, Mendelian Randomization, colocalisation and post-GWAS interpretation in career to date.
- First authorships on published papers related to ML and/or StatGen.
- Demonstrated skills.
Statistical Geneticist with Machine Learning (Drug Discovery) employer: Searches @ Wenham Carter
Join a pioneering Biotech company at the forefront of health resilience research, where your expertise as a Statistical Geneticist with Machine Learning will directly contribute to groundbreaking therapies. Enjoy a collaborative work culture that fosters innovation and offers ample opportunities for professional growth, all while working in a vibrant location that is home to leading pharma partnerships. With access to cutting-edge technology and a commitment to employee development, this role promises a meaningful and rewarding career path.
