Group Leader – AI in Biology

Overview

EMBL’s new AI initiative seeks a visionary scientist to establish an independent research group at the AI Hub Heidelberg, linking cutting‑edge machine learning methods with modern biology.

The role will develop AI techniques to address fundamental questions in biology within a world‑class research environment that spans molecules to ecosystems.

Responsibilities

• Lead an independent research group, pursuing ambitious and original projects in AI for biology.
• Design and implement a research program that adapts and innovates AI methods to answer significant biological questions.
• Form and manage a collaborative, interdisciplinary team, providing mentoring and fostering an inclusive research culture.
• Engage with EMBL scientific units across Heidelberg to integrate multi‑modal data, support whole‑cell modelling, and collaborate on projects such as protein‑function prediction, regulatory networks, and precision medicine.
• Contribute to the growth of EMBL AI by shaping future directions, publishing high‑impact research, and representing EMBL at national and international conferences.

Qualifications

• Ph D in a relevant field, with a strong record of research achievements in AI or machine learning.
• Interest and basic understanding of AI applications to biology; prior biology experience not required but an interdisciplinary mindset is essential.
• Demonstrated scientific excellence, vision, and the ability to develop and defend original research ideas.
• Experience in collaborative projects, mentoring, and teamwork in a research environment.
• Leadership potential and management skills, including strategic planning, coordination, and fostering inclusiveness.
• Proficiency in computational research and familiarity with high‑performance computing, GPU, and data‑science infrastructure are highly desired.

Benefits

• Contract length: 5years, renewable up to 9years.
• Salary: Grade9; monthly salary from €6.659,04 (after tax, before social‑security deductions).
• Core funding and a competitive yearly research package.
• Access to world‑leading core facilities, HPC and GPU farms, and European supercomputing resources.
• Generous research staffing support, including core‑funded Ph D students and post‑doc programmes.
• Comprehensive benefits: health insurance, family and child allowances, long‑term care, accident and unemployment insurance, pension contributions, and flexible working arrangements.
• Paid leave: 30days annual leave plus public holidays; additional family leave provisions.
• Relocation package including installation grant where applicable.
• Campus life: free shuttle service, library access, cafeteria, sports clubs, and remote social activities.
• International support: visa exemption, education grant for private schooling, travel support to return home every second year, and monthly non‑resident allowance.
• Application Procedure

Prospective candidates should submit a concise research plan (up to four pages) outlining original and ambitious goals for their future team.

Alongside the research plan, include a cover letter, CV, names and contact details of two referees, and a brief description (maximum four pages) of research interests and future plans.

Letters of recommendation should be submitted by the referees by the application deadline.

Applications should be received on or before 23072026.

Online interviews will be scheduled in September 2026; onsite interviews in November 2026.

EEO and Diversity Statement

EMBL is an inclusive, equal‑opportunity employer committed to diversity, equity, and inclusion.

We encourage applications from all genders, cultures, ethnic groups, and any other diverse backgrounds.

Our recruitment and performance assessment processes comply with the DORA principles and enforce a flexible, inclusive culture where every individual can realise their full potential.

#J-18808-Ljbffr