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Helmholtz Zentrum München 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.

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 Institute of Translational Genomics translates insights from genomics and multi-omics into mechanisms of complex disease development and progression. We are seeking a PhD student to work on -omics integration, post-GWAS analyses, and clinical risk modelling for type-2 diabetes (T2D) outcomes using datasets comprising clinical outcomes, as well as genetic, proteomic and metabolomic data. The objective of this PhD will be to develop models of risk for diabetic complications in order to identify potential new drug targets, improve T2D prognosis and prevention approaches, and achieve better patient stratification.

The successful candidate will join a dynamic and international team of analysts and researchers in a collaboration funded through the EU Horizon2020 framework, which brings together private and research actors to achieve a paradigm shift in T2D healthcare. The project will provide a unique opportunity to gain experience with diverse omics datasets and with a wide spectrum of translational genomics analyses.

PhD Student in Statistical Genetics / Bioinformatics (f/m/x) 100908

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Image Neuherberg near Munich
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Your objectives

  • Identification and validation of associations between molecular traits and clinical outcomes, in particular diabetic complications
  • Identification and validation of robust molecular quantitative trait loci (molQTLs)
  • Identification of effector genes for unresolved GWAS signals
  • Identification of novel drug targets and drug repositioning opportunities
  • Assessment of the performance of existing polygenic risk scores (PRS) to predict T2D onset and T2D-relevant clinical outcomes
  • Production and validation of stratified PRS based on the quantitative traits measured to provide better stratification for patient groups
  • Build integrative model of T2D progression towards complications, evaluate predictive performance compared to clinical variable models alone

Your qualifications

  • A Master’s degree in Statistical Genetics, Bioinformatics or a related field
  • Practical experience of data analysis and visualisation with R or Python
  • Familiarity with *NIX environments and the bash scripting language
  • Familiarity with high-performance computing environments
  • Spoken and written fluency in English

Desired Qualifications

  • Knowledge of human genetics, GWAS and basic bioinformatics resources (Ensembl, the GWAS Catalog, genome annotation and expression databases etc.)
  • Familiarity with common statistical genetics tools (e.g. plink, bcftools)

What we offer you

scientific training at HELENA Graduate School
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work-life balance
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flexible working hours & time off in lieu
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30 days annual leave
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on-site health management service
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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.

This position also provides the opportunity for you to build specialist knowledge and collect significant professional experience, both of which will help advance your scientific career.

Remuneration and social benefits are based on the collective wage agreement for public-sector employees at federal level (EG 13 50% TV EntgO Bund). In addition, there is also the possibility of granting an allowance amounting to 15% if the necessary conditions are fulfilled. The position is (initially) limited to three years, but under certain circumstances an extension can be arranged.

To promote diversity, we welcome applications from talented people regardless of cultural background, nationality, ethnicity, gender and sexual identity, physical abilities, religion and age. Qualified applicants with physical disabilities will be given preference.
Applicant guidance on the Corona pandemic 

Interested?
If you have further questions, simply contact Marion Timm, marion.timm@helmholtz-muenchen.de, +49-89-3187-49614, who will be happy to be of assistance.
Helmholtz Zentrum München
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Institute of Translational Genomics
Ingolstädter Landstraße 1 

85764 Oberschleißheim

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