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Helmholtz Munich is a research center with the mission to discover personalized medical solutions for the prevention and therapy of environmentally triggered diseases and promote a healthier society in a rapidly changing world.

The Institute of Computational Biology is globally recognised for innovations in data analysis and modelling of biological systems and diseases, anchored at the Helmholtz Centre Munich and the Technical University Munich.

We are looking for a highly motivated

Postdoc in "Computational method development for pharmacogenomics and precision medicine" (f/m/x) 101290

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Image Neuherberg near Munich
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Your responsibilities

Precision medicine has raised high hopes in enabling the cure of cancer, however, developing a targeted therapy against an oncogene, i.e. a gene that drives cancerogenesis, results in strong evolutionary pressure on oncogenic addicted tumours. Consequently, cell clones with acquired or intrinsic drug resistance mechanisms outgrow the vulnerable cancer cells only carrying the oncogene. In order to overcome resistance and prevent relapses, synergistic drug combinations will enable the next generation of precision medicine. The Postdoctoral Fellow will develop novel statistical and computational models to deliver biomarkers of drug resistance and drug synergy. Competitive advantages of this project include access to unpublished drug response data, and being funded by ERC. The aim of the project involves:

  • Multi-OMICS integration in cancer cell lines and primary tumours leveraging artificial intelligence.
  • Develop and apply artificial intelligence algorithm with transfer and active learning to deliver actionable tumour subtypes.
  • Apply and adapt machine learning and biostatistical methods to the deep molecular characterisations of patients to predict monotherapies and drug combinations.

Your qualifications

  • Ph.D. in Bioinformatics, Biostatistics, Biophysics or equivalent with interest in cancer and drug development. Alternatively, a Ph.D. in Biotechnology, Biology or equivalent with significant experience and interest in Bioinformatics / Biostatistics.
  • Excellent programming skills in R or Python.
  • Excellent knowledge in Machine Learning, Artificial Intelligence, or Biostatistics.
  • Excellent understanding of one cancer type
  • Excellent academic record.
  • Scientific curiosity, commitment to scientific excellence and ability to work independently.
  • Highly motivated to work in a young and multi-disciplinary, collaborative environment including academic and industrial partners.
  • Good communication and presentation skills, including experience in communicating across discipline boundaries.
  • Fluency in spoken and written English.

The following skills are considered advantageous:

  • Leadership skills and enthusiasm to co-supervise PhD students
  • Knowledge of drug development
  • Pharmaceutical industrial experience
  • Working in a Linux environment, with experience of shell scripting, cluster or cloud computing

What we offer you

work-life balance
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flexible working hours & working-time models
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continuous education and training
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30 days annual leave
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on-site health management service
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Image company pension scheme
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Munich, with its numerous lakes and its vicinity to the Alps, is considered to be one of the cities with the best quality of life worldwide. With its first-class universities and world-leading research institutions it offers an intellectually stimulating environment.

Provided that the prerequisites are fulfilled, a salary level up to E 13 is possible. Social benefits are based on the collective agreement for the federal public service (TVöD). The position is (initially) limited to 2 years, under certain circumstances an extension can be arranged.

To promote diversity, we welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion and age. Qualified applicants with physical disabilities will be given preference.
If you have obtained a university degree abroad, we require further documents from you regarding the recognition of the degree. Please request the recognition as early as possible.

Interested?
If you have further questions, simply contact Daniela Herrmann, daniela.herrmann@helmholtz-muenchen.de, who will be happy to be of assistance.
Helmholtz Zentrum München
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Institute of Computational Biology
Ingolstädter Landstraße 1

85764 Oberschleißheim

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