Group Leaders- Human Genetics and Disease Prediction

Do you want to help us improve human health and understand life on Earth? Make your mark by shaping the future to enable or deliver life-changing science to solve some of humanity’s greatest challenges.

Join the Frontier of Human Genomics and Disease Prediction

Become a Group Leader at the Wellcome Sanger Institute

At the Wellcome Sanger Institute, we’re rethinking how human data can be used to understand, predict and ultimately change the course of disease. We’re hiring Group Leaders to join our Human Genetics Programme where large-scale cohorts, longitudinal multi-omics and patient data come together to power predictive models of health and disease.

About the Programme

Our mission is bold: to generate the datasets, build the predictive models and develop the causal understanding needed to predict, prevent and treat human disease. We design and generate large-scale, longitudinal multi-omic resources, tightly linked to detailed patient data, and use these to understand how genetic and environmental variation shape molecular states, trajectories and outcomes. We will use AI, machine learning, and robust causal inference methods to turn that understanding into better risk prediction, diagnosis and treatment, deriving openly accessible predictive models that are generalisable and transferable between populations and clinical contexts.

You’ll join a group of creative faculty comprising Carl Anderson, Emma Davenport, Matthew Hurles, Hilary Martin and Gosia Trynka, with strong links across the Institute’s diverse programmes — Cellular Genomics, Cancer, Ageing and Somatic Mutation, Generative Genomics, Parasites and Microbes, and Tree of Life - as well as with Sanger Scientific Operations and Informatics and Digital Solutions. 

The programme offers sustained core funding, large-scale technology and informatics platforms and a genuinely collaborative, supportive working environment in the Cambridge–London science hub. If you’re excited by our ambitious mission and want to make a bold, personal contribution to it in an environment that values diverse perspectives and inclusive collaboration, we want to hear from you.

Who We’re Looking For:

We welcome applications from researchers with backgrounds in clinical medicine, human genetics, genomics and multi-omics, epidemiology, statistics, computer science, clinical informatics and AI/ML. We are keen to hear from both clinician scientists and non-clinical/basic scientists. We do not expect any individual to span all of the areas below; we are looking for depth and originality in one or more of them, together with a strong commitment to collaboration.

You might, for example, have expertise in:

• Human genetics and multi-omics for complex traits and diseases.

• Epidemiology and longitudinal cohort design and analysis.

• Electronic health records and real-world data science, including phenotyping and data linkage.

• Causal inference and statistical methods for target and biomarker