Postdoc in Artificial Intelligence for Oncology and Molecule Discovery (f/m/x)

102658

Full time

39 hrs./week

Neuherberg near Munich

Home Office Options

We are Helmholtz Munich. In a rapidly changing world, we discover breakthrough solutions for better health.

Our research is focused within the areas of metabolic health/diabetes, environmental health, molecular targets and therapies, cell programming and repair, bioengineering, and computational health. We particularly excel in the fields of basic research, bioengineering, artificial intelligence, and technological development.

Through this research, we build the foundations for medical innovation. Together with our partners, we seek to accelerate the transfer of our research, so that laboratory ideas can reach society and improve people’s quality of life at the fastest rate possible.

This is what drives us. Why not join us and make a difference?

The Institute of AI for Health (AIH) develops solutions for digital health challenges. As an emerging European hub for applied artificial intelligence (AI) and machine learning (ML), we aim at modeling large-scale, high throughput biomedical data, developing new drugs and treatments, analyzing biomedical images, and integrating multi-omics data for precision medicine.

The

lab of Prof. Ewa Szczurek

works on projects involving processing, analysis, and modeling of state-of-the-art single-cell omics and spatial data with applications in computational oncology, as well as generative AI for design of antimicrobial peptides.

Our lab values a friendly and vibrant atmosphere and encourages mutual support. We offer exciting projects and numerous collaboration opportunities. We are looking for independent and perseverant individuals (f/m/x) with dedication to research.

Prof. Matthias Tschöp (Dr. Med., Dr. hc.), CEO of Helmholtz Munich: "We believe that excellent research requires a range of different perspectives. Diverse teams reach better solutions and are more innovative in their research topics.

Establishing our Diversity Management Strategy demonstrates our commitment to ensuring an appreciative company culture based on mutual respect. We are also implementing diversity-sensitive processes throughout our whole organization."

Your tasks

• Development of novel AI methods
• Work on generative AI or probabilistic models
• Analysis of medical and/or molecular data
  
  

Your profile

• PhD in computer science, mathematics, physics or related fields
• Experience in machine learning and AI, with proven codebase in public repositories
• Experience or strong willingness to get involved in computational biology
• Publications out of PhD
  
  

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
  
  

Since 2005, we hold the TOTAL E-QUALITY award for exemplary action in the sense of an equal-opportunity organizational culture.

Helmholtz Munich is actively committed to diversity and inclusion in practice and is sustainably committed to equality.

The Diversity Charter has set itself the goal of promoting diversity in the world of work. By signing the charter, we commit ourselves to create an appreciative working environment for all employees.

If you fulfil 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 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.

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.

Interested in applying?

If you have any questions, feel free to contact Ewa Szczurek, ewa.szczurek@helmholtz-munich.de, who will be happy to help.

Your application should include

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

30.03.2025

We are Helmholtz Munich.

Why join us?

Read more

Helmholtz Munich

Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)

AI for Health

Ingolstädter Landstraße 1

85764 Oberschleißheim