Staff Scientist (f/m/x) in Computational Biology Full-time

Staff Scientist (f/m/x) in Computational Biology

At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We believe that diverse perspectives drive innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real-life applications, improving lives.

The Theis Lab at the Computational Health Center is internationally recognized for pioneering methods in machine learning, single-cell analysis, and computational modeling of complex biological systems. Our lab is a vibrant interdisciplinary environment that combines fundamental methodological development with translational collaborations in biomedicine.

To further strengthen project work, mentoring, and scientific coordination across our team, we are seeking an outstanding and motivated Staff Scientist (f/m/x).

This long-term role is ideal for a researcher who thrives at the interface of computation and biology, enjoys mentoring and wishes to shape scientific strategy within an internationally leading research group.

Your Role

• Drive and support the scientific design, analysis, and interpretation of computational and single-cell biology projects
• Ensure high methodological standards across the lab, including reproducibility, robust workflows, and shared best practices
• Contribute to collaborative research initiatives & grants and help shape the lab's scientific strategy
• Provide mentoring and guidance to PhD students and postdocs as part of an integrated research environment

Your Profile

• PhD in computational biology, bioinformatics, computer science, mathematics, biomedical sciences, or a related field
• Strong expertise in machine learning, AI, and computational data analysis
• Solid understanding of biological and biomedical concepts, particularly in genomics, transcriptomics, or single-cell technologies
• Proven experience supervising, mentoring, or coordinating interdisciplinary research teams
• Practical experience with modern scientific computing frameworks (e.g., PyTorch, JAX, scikit-learn) and reproducible workflow tools
• Excellent analytical and problem-solving skills, strong communication abilities, and a collaborative mindset

If you fulfill all the requirements, you may be eligible for a salary grade of up to E 13. Social benefits are based on the Collective Wage Agreement for Public-Sector Employees (TVöD). The position has an (initial) fixed term of 3 years but may be extended under certain circumstances.

Our Offer

1. Work at the cutting edge of computational biomedicine within one of the largest and most renowned AI-for-biology labs in Europe.
2. An inspiring, international, and highly collaborative research environment with access to exceptional datasets, infrastructure, and interdisciplinary expertise.
3. Opportunities for long-term career development as a staff scientist, including scientific training, leadership development, and involvement in strategic projects.
4. A strong commitment to diversity, equity, and inclusion.

Benefits

• Career Development: Postdoc program, scientific training & career center with tailored offers
• Scientific Resources: State-of-the-art infrastructure and Core Facilities
• Recreation: 30 days annual leave, flexi days, plus public holidays
• International Staff Service: Support with the relocation and integration process in Germany
• Health Promotion: Sports, company doctor, mental health initiatives

If you have any questions, feel free to contact Anna Sacher, who will be happy to help. Our recruiting is decentralized – your application will be reviewed directly by the specialist department in which you could work in the future.

Please send your application only via our online application tool and with the following documents:

• CV
• Contact details for at least two referees
• Cover letter
• Degrees/Diplomas/Certificates
• References from recent employers

If you have obtained a university degree abroad, we will require further documents from you regarding the comparability of your degree.

We are committed to promoting a culture of diversity and welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion or age. Qualified applicants with physical disabilities will be given preference.