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Our mission as research center: Discover personalized medical solutions for environmentally triggered diseases to promote a healthier society in a rapidly changing world.

We are looking for a highly motivated PhD candidate (f/m/x) in Bioinformatics / Computational Biology to join the Schiller lab at the Institute of Lung Health and Immunity / Comprehensive Pneumology Center.

Lung disease is one of the leading causes of death worldwide. This project is embedded in both the Human Cell Atlas and LifeTime initiatives, as well as the German Center for Lung Research (DZL). We have recently discovered a novel regenerative stem cell state that persists in lung fibrosis (Nat Commun. 2020, https://go.nature.com/3MwwnCK), and used multi-omic analysis to identify peripheral protein biomarker signatures that correspond with disease associated cell states in the lung (EMBO Mol Med. 2021, https://bit.ly/3083cio). In this project we aim to understand cell-cell communication within cell circuits in subtissular niches that drive the progression of chronic lung diseases, in particular lung fibrosis and COPD.

PhD student in Bioinformatics for “Multi-modal single cell analysis of subtissular niches in chronic lung disease” (f/m/x) 101515

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Your mission

  • You will conduct integrative computational analyses of both human patient and mouse model datasets in order to generate models of cell-cell communication and gene regulatory networks in the lung.
  • You will develop custom scripts for data analysis and visualization.
  • You will develop web services/databases (e.g. shiny apps).
  • You will present the work in group and international meetings, and write scientific papers.

Your qualifications

  • You have a MSc. in bioinformatics, biology, computer science or a related field.
  • You have a strong interest in biological data analysis and are not afraid of diving deep into biological literature as well as complex datasets.
  • You are experienced with R or Python with the ability to derive sound statistical conclusions resulting in appealing and informative visualizations.
  • You have first experience in the analysis of complex omics datasets. Experience with single-cell datasets is advantageous but not required.
  • You should be willing to work at the intersection of biology and computer science, which entails the exciting opportunity to get feedback from and closely collaborate with experts from both fields.
  • You should have the ability to work independently, excellent organization, communication and presentation skills in English and the ability to interact and cooperate within a diverse scientific environment.

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 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 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 Herbert Schiller, +49 89 3187 1194, herbert.schiller@helmholtz-muenchen.de, who will be happy to be of assistance.
Helmholtz Zentrum München
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Institute of Lung Health and Immunity
Comprehensive Pneumology Center (CPC-M)

Max-Lebsche-Platz 31
81377 München

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