Postdoc (f/m/x) in Machine Learning in Biomedicine

Area of research:

Scientific / postdoctoral posts

Job description:Postdoc (f/m/x) in Machine Learning in Biomedicine

102301

Full time

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 Computational Health Center (CHC) is globally recognized for innovations in data analysis and modeling of biological systems and diseases, anchored at Helmholtz Munich and the Technical University Munich. The Theis Lab has a long-standing reputation for pioneering machine learning and AI methods in molecular biology, in particular on single-cell genomics and microscopy. The position is co-supervised by Joachim Schultze (DZNE, Bonn) and includes lab visits in Bonn.

Prof. Matthias Tschöp (Dr. Med., Dr. hc.), "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

The role involves developing and applying decentralised machine learning/AI tools to analyse high-parameter flow cytometry and high-resolution single-cell multi-omics data for diagnostic purposes in a clinical multi-center study based on the Scanpy platform and Swarm Learning. The position is part of a national consortium about “Swarm Learning for precision medicine in infectious diseases and pandemic preparedness” including experts in the fields of data and information sciences, immunology, virology, clinical infectious diseases, and ethics.

It provides an opportunity for close collaboration with the Schultze Lab at the Department of Systems Medicine at the German Center for Neurodegenerative Diseases, along with the possibility of conducting longer research visits to Bonn. This innovative work sets a precedent for applying AI across medical disciplines. If you are enthusiastic about addressing critical questions in the field of AI in medicine and contributing to the progress of precision medicine, you are encouraged to apply for this postdoctoral position.

• Develop a decentralised, automated machine learning approach to model clinical single-cell flow and multi-omics data for diagnostics based on deep representation learning and downstream attention-based supervised multiple instance learning.
• Interpret trained model via attention and prior knowledge.
• Develop a disease severity classifier for COVID-19 based on high-parameter cytometry data and integrate this with multimodal single cell omics samples.
• Provide guidance and supervision of students.

Your profile

• PhD in computer science, computational biology or related field.
• Excellent skills in AI/ machine learning and applications thereof.
• Strong programming/data engineering skills.
• Background and/or strong interest in biomedical questions.
• Excellent analytical, technical, and problem-solving skills.
• Motivated team player with excellent communication and presentation skills, including experience in communicating across discipline boundaries.

Benefits

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 Dr. Anna Sacher, 089 3187-2926, who will be happy to help.

Your application should include

We are Helmholtz Munich.

Why join us?

Read more

Helmholtz Munich
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Institute of Computational Biology
Ingolstädter Landstraße 1
85764 Neuherberg

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.