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Research Fellow in AI Applications for Biomedicine

vor 3 Monaten


Oberschleißheim, Bayern, Deutschland Helmholtz Zentrum München Vollzeit

Research Fellow in AI Applications for Biomedicine


Full time
Home Office Options

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

Our research focuses on metabolic health/diabetes, environmental health, molecular targets and therapies, cell programming and repair, bioengineering, and computational health. We excel in 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.

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. The Theis Lab has a long-standing reputation for pioneering machine learning and AI methods in molecular biology, particularly in single-cell genomics and microscopy.

Your tasks

The role involves developing and applying decentralized machine learning/AI tools to analyze high-parameter flow cytometry and high-resolution single-cell multi-omics data for diagnostic purposes in a clinical multi-center study. The position is part of a national consortium focused on precision medicine in infectious diseases and pandemic preparedness, including experts in data sciences, immunology, virology, clinical infectious diseases, and ethics.

This position offers opportunities for close collaboration with leading labs and the possibility of conducting research visits. This innovative work sets a precedent for applying AI across medical disciplines. If you are enthusiastic about addressing critical questions in AI in medicine and contributing to the progress of precision medicine, you are encouraged to consider this postdoctoral position.

  • Develop a decentralized, automated machine learning approach to model clinical single-cell flow and multi-omics data for diagnostics.
  • Interpret trained models using attention mechanisms and prior knowledge.
  • Develop a disease severity classifier for COVID-19 based on high-parameter cytometry data.
  • Provide guidance and supervision of students.

Your profile

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

Benefits

Helmholtz Zentrum München is committed to diversity and inclusion in practice and is sustainably committed to equality.

The organization promotes diversity in the workplace and is dedicated to creating an appreciative working environment for all employees.

If you fulfill all the requirements, you may be eligible for a competitive salary. The position has an initial fixed term but may be extended under certain circumstances.

We welcome applications from talented individuals regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion, or age. Qualified applicants with physical disabilities will be given preference.