Clinical AI Consultant (f/m/x)

Helmholtz Zentrum München; Oberschleißheim; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading health research institute in Germany is seeking a Clinical AI Consultant to develop machine learning models and collaborate with clinical partners. This full-time position is based near Munich and offers opportunities for mobile work, although not fully remote. Ideal candidates should possess a Master's or PhD in a related field and have strong expertise in implementing ML pipelines and development in Python. The role emphasizes both independent work and team collaboration, targeting applications that enhance patient care.

Leistungen

Career Development programs

30 days annual leave

Support for relocation and integration

Qualifikationen

• Excellent academic background in computer science or related fields.
• Proven experience with ML/AI pipelines in Python, ideally in healthcare.
• Proficient in software engineering practices and production-quality software.

Aufgaben

• Develop and maintain ML models for clinical questions.
• Create proof‑of‑concept tools and deploy in clinical settings.
• Serve as a contact for ML/AI applications in medicine.

Kenntnisse

Machine Learning implementation

Software Development

Python Programming

Healthcare Data Analysis

Team Collaboration

Ausbildung

Master's or PhD in Computer Science, Data Science or related field

Tools

Python

PyQt

JavaScript/React

Jobbeschreibung

Clinical AI Consultant (f/m/x)

Full time, 39 hrs./week. Neuherberg near Munich. Partial Home Office possible.

Shape the future of clinical AI and join us as a Clinical AI Consultant (f/m/x) at Helmholtz Munich. Our goal is to empower clinicians and medical researchers to harness AI for real-world impact.

Since its inception in 2020, the Helmholtz AI consultant team has been providing Machine Learning (ML) and AI expertise to health research scientists from Germany’s largest research organization, the Helmholtz Association, with great success. We are now embarking on the journey to translate this concept to medicine, bridge the gap between cutting‑edge research and clinical applications, and to bring AI solutions close to patient care.

We offer you the unique opportunity to leverage your expertise in machine learning and AI in a vibrant international environment. You will scope and develop AI tools for unique datasets generated during clinical practice by our partners. You will also play a crucial role in achieving our long‑term goal of deploying and evaluating those tools in the clinics.

Your tasks

• Conceptualize, develop and maintain machine learning models to solve concrete clinical questions, in close collaboration with clinical partners and the Helmholtz AI consultant team.
• Develop quality software to bring those models into proof‑of‑concept tools and deploy them in the clinics.
• Be a point of contact for questions related to ML/AI and medical applications.
• Provide critical assessments of the projects of our clinical partners.
• Continuously learn about state‑of‑the‑art and emerging AI methods for clinical applications.

Your profile

• An excellent master’s degree or a PhD in computer science, software engineering, data science, physics or another field related to data science.
• A track record in implementing state‑of‑the‑art applied ML/AI pipelines in Python (please provide a link to your GitHub/hugging face profile), ideally combined with a background in healthcare or biomedical data analysis.
• Proficiency developing production‑quality software in object‑oriented programming with Python; experience developing small user interfaces (e.g. with Python, PyQt, Dash, JavaScript/React) is a plus.
• Experience with software engineering practices including coding standards, code reviews, version control, build processes, testing, and operations, ideally in an open‑source context.
• A high degree of autonomy, excellent problem‑solving skills, and the ability to communicate clearly with different stakeholders.
• Strong team spirit and enthusiasm for sharing best practices.

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 2 years but may be extended under certain circumstances. We support mobile work, and specific mobile working days can be agreed upon with the line manager, but the position cannot be offered as a fully remote position.

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.

Interested in applying?

If you have any questions, feel free to contact Carsten Marr, [e-mail], 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
• References from recent employers
• Transcript of records

11 January, 2026

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.

Helmholtz Munich
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
AI for Health
Ingolstädter Landstraße 1
85764 Neuherberg