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A leading research institute in Germany seeks a Team Leader for the new AI Hub to advance AI applications in life sciences. The role entails leading AI engineers to develop innovative services and collaborating across multiple scientific domains. Ideal candidates hold a PhD with a strong track record in AI and leadership capabilities. This opportunity includes competitive benefits and a chance to influence cutting-edge research in biology.
Do you want to be part of EMBL\'s newly created AI Hub, using AI to solve complex interdisciplinary challenges? We\'re seeking a visionary scientist to establish and lead a new AI Engineering & Automation Team at the AI Hub Heidelberg as part of EMBL AI, a major institutional initiative to embed AI across all areas of life sciences. This role offers a unique opportunity to build AI infrastructure, services, and applications that will drive transformative research across EMBL and the global scientific community.
About us
EMBL AI is EMBL\'s ambitious new initiative aiming to exploit the full potential of AI-based approaches to advance scientific discovery. EMBL AI will host new AI research groups and data engineering teams, supported by state-of-the-art infrastructure, along with fellowship and skills development programmes that bridge AI and life sciences. EMBL AI groups will be embedded in a world-class environment of biological researchers covering a broad range of biological areas, from molecules to ecosystems.
EMBL has already established itself as a global leader in AI-driven innovation in biology research, with successes in areas including genomics, structural biology (e.g., AlphaFold), biomarker discovery, and imaging. EMBL hosts the world\'s largest repository of biological data, the European Bioinformatics Institute (EMBL-EBI), and has excellent pan-institutional data management, data science and open science infrastructures. Our goal is to build a dynamic community of AI specialists working alongside life science researchers, together creating innovative AI-based methods to address fundamental questions in biology and drive scientific breakthroughs. Discover more on our web page and explore our current research groups.
Scientific context and strategic fit
EMBL\'s 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. EMBL has a track record in establishing landmark data resources in these different areas (EMBL-EBI), leads in managing digital infrastructures, and operates a dedicated Data Science Center for handling complex primary biological data types across the institute.
We are interested in hosting scientists who are keen to bring their AI expertise to EMBL, collaboratively developing AI-based solutions to scientific questions with the life science community. These research efforts should support the creation of new services to make AI-based methods accessible to scientists across EMBL.
Your expertise might cover areas such as: machine learning foundations, generative modeling, deep learning, large language models, representation learning, Bayesian or causal inference, active or transfer learning. Proposals with a strong technology development focus are encouraged.
Incoming teams will be able to collaborate with scientists across EMBL\'s scientific units, sites and cross-cutting research topics, and have access to unique biodata, biotechnologies, and a wide range of expertise in biological research. A close interaction with EMBL\'s Data Science center is foreseen.
Your role
As a Team Leader, you will:
You will also have the opportunity to:
Your profile
You have an excellent research and/or service track record in AI, a PhD in a relevant field, an interest in its applications to biology. You have a well-defined strategy for operating the service and, if conducting your own research, for integrating it with the service. Previous experience in biology is not required, but a strong interest in interdisciplinary collaboration is essential.
Experience in leading large projects or teams, with evidence of organizational and people management skills, is an advantage.
Key competencies:
Why EMBL is an excellent environment for You as a Team Leader
As Europe\'s life sciences laboratory, EMBL offers an inspiring, internationally recognized platform to launch and grow your research career.
EMBL team leaders benefit from:
Online interviews will be conducted in November 2025
Onsite interviews are planned for January 2026
Contract length: 5 years, renewable to a maximum of 9 years.
Salary: Grade 9, monthly salary from EUR 6.659,04 (after tax, and before 12.05% EMBL social security deductions) plus other paid benefits.
Further information on Group Leader appointments can be found here: https://www.embl.org/careers/group-leader-recruitment/
If you would like more information about the position, if procedural please contact recruitment@embl.org, if on the position please contact Oliver Stegle oliver.stegle@embl.org, acting Head of EMBL AI.
How to apply
Before applying, please read the application instructions here.
You should submit an exciting research plan with original and ambitious goals for your future team (maximum 4 pages). In your online application, you will be asked to include a cover letter, your CV, the names and contact details of 2 referees and a concise description of research interests & future research plans, highlighting your unique vision (up to four pages). Letters of recommendation should be submitted by the referees by or shortly after the application deadline.
Why join us
EMBL is curiosity-driven, community-oriented and international. As an inclusive, equal opportunity employer, we believe that diversity enables us to collaborate more effectively and be innovative in our approaches. We are, therefore, committed to creating an inclusive and flexible culture - one where everyone can realise their full potential and make a positive contribution to our organisation.
We encourage applications from individuals who can complement our existing team - we believe that success is built on having teams whose backgrounds and personal experiences reflect the diversity of the populations that our science serves. We actively encourage applications from all genders and cultures, ethnic groups and all demographics to help us avoid perpetuating biases and oversights at this transformational point in our people strategy.
Enjoy lots of benefits:
What else you need to know
Closing Date
02/11/2025