Job Description

102839



Full time

39 hrs./week



Neuherberg near Munich



Partial Home Office possible



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.



At the



Institute for Intelligent Biotechnologies (iBIO)



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. Sophisticated technologies such as 3D tissue imaging, molecular profiling are combined with AI tools to decode the complexity of tissues and shed light into cancer biology. Our interdisciplinary team — comprising biologists, engineers, computer scientists, and medical researchers — develops next-generation computational models to interpret complex biomedical data across multiple scales. Our innovations in tissue clearing, 3D microscopy, and AI-driven pathology have been featured in leading journals (Nature Methods, Nature Neuroscience, Cell, Nature Biotechnology) and major media (The New York Times, Wall Street Journal, Süddeutsche Zeitung).



Learn more about our research at



www.erturk-lab.com

. We are seeking a highly motivated AI Scientist (best:

Computational Pathologist / Machine Learning Scientist for Digital Pathology) (f/m/x) to join our efforts in developing AI-driven virtual staining pipelines for cancer tissue analysis.



Your tasks



Developing 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)

Your 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

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). This position is for a fixed term until 30.09.2026.

Managing Director Mike Frieser:

„We believe that diversity is the key to groundbreaking research and innovative solutions. Our flexible working models and remote options create a supportive environment for balancing work and family life. For us, contributing to a healthier society in such an inspiring workplace is truly meaningful.“



Get to know us



Benefits



Career Development: Postdoc program, scientific training & career center with tailored offers Scientific Resources: State-of-the-art infrastruture 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

Interested in applying?



If you have any questions, feel free to contact Stefanie Reitinger, stefanie.reitinger@helmholtz-munich.de, 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.



More information about our application process



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



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

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



Please request the Statement of Comparability for Foreign Higher Education Qualifications as early as possible.



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.



Learn more about diversity at Helmholtz Munich



Our commitment



Helmholtz Munich

Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)

Institute for Intelligent Biotechnologies

Ingolstädter Landstraße 1

85764 Neuherberg