Bioinformatics Workstream Coordinator for The - Munich, Deutschland - Technische Universität München

Lena Wagner

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Lena Wagner

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Beschreibung

Are you passionate about the intersection of human-related next-generation sequencing (NGS) data, data science, biomedical research, and scientific project management? The German Human Genome-Phenome Archive (GHGA) is seeking a talented and driven individual to join our dynamic team. As a scientific coordinator with a bioinformatics and data science background, you will play a pivotal role in shaping the future of NGS data analysis, biomedical research, and dissemination using state-of-the-art cloud technologies and workflows. We seek your help to bring biomedical research and genetic diagnostics to population scale by building e.g., a Germany-wide variant frequency database and harmonized NGS analysis workflows

Who we are:


The German Human Genome-Phenome Archive (GHGA) consortium is a national, secure, and trustworthy network of data centers for archiving, processing, and serving human genome sequencing and other omics data for biomedical research, which is the German node for the federated European Genome-Phenome Archive (fEGA).

The Munich GHGA team is hosted by the chair of Computational Molecular Medicine (CMM), which is leading the harmonization of NGS workflows and the implementation of the Bavarian GHGA data hub.

The chair is located in the informatics department of the Technical University of Munich, one of the top-ranked European universities.

It has strong links to other local scientists and institutions in biology and medicine, such as the Institute of Human Genetics at the Klinikum rechts der Isar, but also close connections to the Leibniz Rechenzentrum (LRZ), one of the top 20 supercomputers in the world.


Job description:


Your responsibilities:

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Project Management:Oversee the planning, execution, and delivery of bioinformatics projects, ensuring alignment with GHGA goals and the wider research community, timelines, and budget constraints.
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Research and Development:Lead establishing and deploying a Germany-wide variant frequency database and a Beacon instance and align these efforts with the "Modellvorhaben nach -64e SGB V".
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Technical Leadership: Stay abreast of emerging technologies, bioinformatics, and computational biology trends, providing technical expertise and guidance to advance scientific capabilities and innovation.
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Quality Control and Benchmarking: Establish and maintain robust quality control and benchmarking processes to ensure the accuracy, reproducibility, and integrity of NGS pipelines and other products (e.g. NCBench).
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Regulatory Compliance: Ensure compliance with relevant regulatory requirements (GDPR) and ethical standards (FAIR principles) governing the handling and analysis of patient genomic data.


Requirements:


  • PhD or postdoc experience in bioinformatics, computational biology, or computer science.
  • Strong understanding of genomics and transcriptomics data analysis methodologies and techniques.
  • Handson experience with Next-Generation Sequencing pipelines (Nextflow, snakemake, WDL, etc.)
  • Knowledge about stateoftheart genomics data analysis pipelines and software used in research.
  • Proficiency in working in a UNIXbased ecosystem (partially in systems administration).
  • Experience in cloud computing infrastructure and platforms (OpenStack, AWS, Google Cloud).
  • Proficiency in at least one programming language (Python, Java, R, Rust,).
  • Excellent communication skills in English (communication with consortia members).
  • Ability to work effectively in a fastpaced, dynamic environment with crossfunctional teams.

Desirable but not required:


  • Experience in project management and leading multidisciplinary teams in bioinformatics or computational biology research.
  • Experience in developing and deploying complex software systems.
  • Knowledge of data standards and data security measurements.
  • Communication skills in German to communicate with local clinicians and legal and data protection officers.

We offer:


  • Opportunity to be at the forefront of advancing biomedical research through innovative data science and bioinformatics approaches.
  • International, diverse, LGBTQfriendly, and interdisciplinary working environment.
  • Working with worldleading IT partners, e.g. the Leibnitz Rechenzentrum (LRZ) and private cloud providers
  • Salary according to TV-L, including social benefits.
  • Flexible working hours and homeoffice policy.
  • Focus on a healthy worklife balance.
  • Possibilities for further scientific qualification and personal development.
  • Disabled applicants with equal suitability and qualifications will be given particular consideration.

Application:


The full-time position is funded until the end of the first GHGA funding period with a salary according to the TV-L (German academic salary scale) up to level E14 with a probable extension of another 5 years.

The position is available immediately.


More Information:

Prof. Dr. Julien Gagneur

Computational Molecular

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