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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.

This Postdoc position at the Institute of Computational Biology will be part of the newly founded cross-regional SFB TRR355 between Munich and Mainz studying “Heterogeneity and functional specialization of regulatory T cells in distinct microenvironments”.

The postdoctoral researcher will have the opportunity to actively shape the analysis effort of the consortium by establishing and implementing
(i) standardized analysis workflows for single-cell sequencing data for established and novel protocols such as multiplexed single-cell paired multi-omics sequencing (scATAC, scRNA, scTCRseq), cell-cell interaction mapping, and special transcriptomics;
(ii) developing easy-to-use web interfaces to manage, analyze, and distribute the consortium’s collected data;
(iii) develop novel algorithms to make use of the collected single-cell data including interpretable multi-omics data integration methods, perturbation prediction, and T-cell specificity prediction.

The postdoctoral researcher will have the opportunity to join the TRR’s integrated research training program and benefit from its structured courses, mentoring and career development programs, as well as its networking opportunities in academia and industry.

Postdoc in Computational Single-cell Immunology (f/m/x) 101892

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Image Neuherberg near Munich
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Your responsibilities

  • Developing advanced, standardized single-cell analysis protocols and pipelines for single-cell multi-omics immune profiling data
  • Developing modern user interfaces to make single-cell data analysis accessible to non-computational target groups
  • Lead and support collaborative single-cell analysis projects of the consortium
  • Maintain close collaborations with team members and collaboration partners within and across the TRR consortium.
  • Publish and present scientific outcomes at international conferences and high-impact journals

Your qualifications

  • Ph.D. in Bioinformatics, Computer Science, or equivalent with an interest in single-cell analysis and software development
  • Experienced in single-cell analysis
  • Working knowledge in a Linux environment, with experience in containerization and pipelining environments such as Docker/Singularity and Nextflow
  • Working knowledge in modern web technologies such as REST, React, and PostgreSQL
  • Excellent analytical, technical, and problem-solving skills
  • Highly motivated team player with excellent communication and presentation skills, including experience in communicating across discipline boundaries

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 home office options
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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 until 31.12.2026, 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 Dr. Anna Sacher, 089 3187-2926, anna.sacher@helmholtz-munich.de, or Paolo Casale, francescopaolo.casale@helmholtz-munich.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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