Postdoc (f/m/x) - AI/ML Drug Discovery for Brain Diseases

102708

Full time
39 hrs./week

Neuherberg near Munich

Home Office Options

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 Institute of Computational Biology (ICB), as part of the Computational Health Center at Helmholtz Munich, is globally recognised for innovations in data analysis and modelling of biological systems and diseases, anchored at Helmholtz Munich and the Technical University of Munich. At our institute you will find a scientifically stimulating international environment. Together with renowned scientists and supported by an excellent infrastructure you will have the opportunity to make an important contribution for a healthier society.

The Theis Lab has a long-standing reputation for pioneering machine learning and AI methods in molecular biology, in particular on single-cell genomics. We are looking for a highly motivated Postdoctoral Researcher (f/m/x) in Machine Learning (ML) or Computational Biology to join a collaborative research project with the Fugger lab at the Oxford Centre of Neuroinflammation, focusing on the development of drugs that tame common brain diseases through the application of graph-based neural networks, deep learning, and optimal transport methodologies.

Your tasks

Analyse disease mechanisms, facilitated by cutting-edge data from techniques like spatial transcriptomics and protein mass spectrometry
Contribute to the development of graph-based deep learning and foundational modeling methodologies
Identify and participate in designing the validation of disease targets by understanding tissue state changes and perturbation responses in peripheral blood, cerebrospinal fluid, and brain tissue from central nervous system disease patients, alongside extensive single-cell platform data
Present your research at international meetings

Your profile

Ph.D. in Computer Science, Bioinformatics, Computational Biology, Biology, or a related field
Demonstrated proficiency in programming languages and workflows used in data science (e.g. Github, Python) and willingness to learn and use deep learning frameworks (e.g. PyTorch)
Strong interest to contribute to the development of perturbation models, gain an understanding of the complexities of neurological disorders, and contribute to effective management and treatment strategies
Demonstrated ability to work collaboratively in a multidisciplinary team
A track record of publications in high-impact journals

Desirable qualifications

Proficiency in molecular biology and knowledge of modern experimental techniques
Familiarity with analysing longitudinal biological samples and/or single-cell data analysis
Familiarity with the target identification steps of drug development or previous experience working with perturbation data

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.

Managing Directors Matthias Tschöp and 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

Family Support

On-site kindergarten, holiday care, care for the elderly

Health Promotion

Sports, company doctor, mental health initiatives

International Staff Service

Support with the relocation and integration process in Germany

Retirement Provision

Company pension plan

Scientific Resources

State-of-the-art infrastruture and Core Facilities

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 Marco Uhrig, Marco.Uhrig@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
Contact details for at least two referees
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

Hermholtz Munich
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Hermholtz AI
Ingolstädter Landstraße 1
85764 Oberschleißheim