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A leading computational biology institute in the UK is seeking a Research Group Leader to establish and lead an independent research team. Applicants should have a strong track record in computational biology or machine learning and an innovative research plan. The position offers generous support, including funding for PhD students and access to advanced computational resources. This is an excellent opportunity for someone eager to push the boundaries of research at the intersection of AI and biology, while also benefiting from a collaborative and supportive environment.
EMBL's European Bioinformatics Institute (EMBL-EBI) is seeking talented and highly-motivated scientists to join its Faculty and develop their own independent research group. We welcome applicants from across the whole field of computational biology, in particular those working at the interface of artificial intelligence and biology. Women, who are under-represented in our Faculty, are especially encouraged to apply.
EMBL-EBI is a global leader in computational biology and bioinformatics. Our research groups develop and apply computational approaches to answer fundamental and applied questions, ranging from studying how the genome has evolved through to how the microbiome affects our health and environment. Research in the Institute builds and expands upon a variety of methods, from strategies for sequence and image analysis through to high-dimensional statistical models, machine learning and artificial intelligence. Computational methods developed by groups based at EMBL-EBI are amongst the most widely used by the scientific community, providing the building blocks for future technical advances and scientific discovery. Please refer to the EMBL-EBI webpage and the individual group descriptions to learn more about the research currently being done in the Institute.
As well as joining one of the worlds leading computational biology institutes, all of our group leaders are embedded in the multidisciplinary and collaborative environment of EMBL, which provides many opportunities for interaction with other research groups.
EMBLs long-term scientific direction, Molecules to Ecosystems, aims to advance our understanding of ecosystems at the molecular level, applying expertise in molecular biology to study life in its natural context. Research areas include applying experimental, computational and theoretical approaches to study how cells and organisms interact with each other and respond to fluctuating environments.
Within this programme, the new AI initiative aims to transform research at EMBL. From the development of new AI methods to their application to mine the worlds largest collection of biomedical data, hosted at EMBL-EBI, to the integration of AI in experimental and observational studies and more generally the scientific process. You will have the opportunity to join this new initiative.
The EMBL-EBI is also deeply embedded in the Wellcome Genome Campus and wider Cambridge environment, which represents an outstanding ecosystem for performing world-leading research in computational life sciences.
You will establish and lead an independent research group to pursue ambitious and innovative research goals.
To enable your research, EMBL-EBI will provide a generous package of core support, including funding for PhD students, bioinformaticians, engineers and postdoctoral researchers. You will also have access to outstanding computational infrastructure including high-performance clusters and GPU compute, no formal teaching responsibilities, and complete academic freedom.
You should have an original and exciting research plan for your future team, which can encompass both biological discoveries and methodological advances. You have an excellent research record in computational biology and a PhD in a relevant field. Alternatively, you have a track‑record in machine learning and AI, and interest in applying these to biological questions. A strong interest in interdisciplinary collaboration is essential, and we want you to demonstrate your motivation to work in the EMBL environment.
EMBL typically appoints group leaders early in their career and provides everything you need to support this transition to your first independent position and achieve your research goals.
If you would like more information about the position: if procedural, please contact Georgina Birchall, Deputy Head of Talent Acquisition, birchall(at)ebi.ac.uk, if on the position itself, please contact Julio Saez‑Rodriguez, EMBL-EBI Head of Research.
To apply, please submit your research plan with original and ambitious goals for your future team (maximum 4 pages). In your online application, please also upload a cover letter, your CV and the names and contact details of at least 3 referees.
Interviews: Online interviews will be held late April/early May. Onsite interviews will be held in Hinxton, on the 2nd and 3rd July 2026.
Benefits and Contract Information:
To apply, please submit a covering letter and CV via our online system. Applications will close on 11/04/2026.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.