AI Scientist (f/m/x) – Virtual Tissue Staining & Cancer Diagnostics

AI Scientist (f/m/x) – Virtual Tissue Staining & Cancer Diagnostics

Helmholtz Munich, Institute for Intelligent Biotechnologies (iBIO)

We develop groundbreaking solutions for a healthier society. We accelerate the transfer of new ideas from the lab to real-life applications, improving lives.

Our major goal is to accelerate biomedical research by developing and combining enabling technologies. Our major research fields are AI-based organ mapping, tissue engineering and precision medicine in cancer treatments.

We combine sophisticated 3D tissue imaging, molecular profiling and AI tools to decode tissue complexity and shed light into cancer biology.

Job Summary

We are seeking a highly motivated AI Scientist (Computational Pathologist / Machine Learning Scientist for Digital Pathology) to develop AI-driven virtual staining pipelines for cancer tissue analysis.

Responsibilities

• Develop AI-driven virtual staining pipelines for cancer tissue analysis.
• Design and train generative AI models that transform unlabeled or 3D tissue images into realistic virtual stains (e.g., synthetic H&E or biomarker maps).

Profile

• Master’s degree in a relevant field.
• Experience in machine learning for imaging, ideally in biomedical or histopathological contexts.
• Strong programming skills and deep learning frameworks.
• Familiarity with generative models (e.g., diffusion, GANs, autoencoders) or virtual staining concepts.
• Excellent teamwork and communication skills in an international environment.

Desirable Qualifications

• Understanding of microscopy, image analysis, and biological data (H&E, immunostaining, omics integration).
• Experience with 3D networks, transformer architectures, or self-supervised learning.

Compensation & Duration

Salaries up to E 13 according to the Collective Wage Agreement for Public-Sector Employees (TVöD). Fixed-term contract until .

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, flexible days, and public holidays.
• International Staff Service: Support with relocation and integration process in Germany.
• Health Promotion: Sports, company doctor, mental health initiatives.

Application Process

Contact Stefanie Reitinger ( ) for any questions. Submit your application through our online application tool with the following documents:

• CV
• Cover letter
• Degrees/Diplomas/Certificates
• Contact details for at least two referees

For international applicants, please request the Statement of Comparability for Foreign Higher Education Qualifications as early as possible.

Equality and Diversity

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.