drjobs Group Leader – AI in Biology

Group Leader – AI in Biology

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1 Vacancy
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Job Location drjobs

Heidelberg - Germany

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Are you ready to lead groundbreaking research in AI for Biology Join us at EMBL!

We are seeking a visionary scientist to establish their own independent research group bridging innovations in machine learning/AI with modern biology at the AI Hub Heidelberg as part of EMBL AI a major institutional initiative to embed AI across all areas of life sciences.

EMBL provides a unique environment for young scientists to conduct groundbreaking research and technology development across the life sciences.

About us

EMBL AI is EMBLs 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 worlds 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
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. 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 can enhance these biological areas using AI-based approaches and technological innovations. We welcome proposals that integrate ML/AI with model-driven experimentation lab automation or study sampling as well as those that advance machine learning methodology and theoretical concepts.

Possible research areas include: machine learning foundations generative modelling foundation models cross-domain/-modality learning explainable AI and mechanistic interpretability representation learning Bayesian inference causal inference active learning AI-based agents in the scientific process. You will use AI to enhance biological discoveries in any area of biology.

Incoming groups will be able to collaborate with scientists across EMBLs scientific units sites and cross-cutting research topics and have access to unique biodata biotechnologies and a wide range of expertise in biological research. Example topics for interactions with the scientific units in Heidelberg include multi-modal data integration towards whole-cell models prediction of protein function and protein-ligand interactions (Molecular Systems Biology) regulatory networks single-cell and spatial omics precision medicine (Genome Biology) multi-scale models in space and time for organelles and cells (Cell Biology and Biophysics) or collectives of unicellular and multicellular organisms (Developmental Biology).

Your role

You will:

Your profile

You should have an exciting research plan for your future team. You have an excellent research record in AI a PhD in a relevant field and an interest in AI applications to biology. Previous experience in biology is not required but a strong interest in interdisciplinary collaboration is essential.

Key competencies

Why EMBL is an excellent environment for you to become a Research Group Leader

EMBL typically appoints group leaders early in their career and provides everything you need to support this transition to your first independent position to achieve your research goals.

EMBL group 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 6.65904 (after tax and before 12.05% EMBL social security deductions) plus other paid benefits.

Further information on Group Leader appointments can be found here: you would like more information about the position if procedural please contact if on the position please contact Oliver Stegle 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


Employment Type

Full-Time

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