Are you passionate about the intersection of data science, bioinformatics, and cutting-edge technologies? The Munich Data Science Institute (MDSI) at the Technical University of Munich (TUM) and the German Human Genome-Phenome Archive (GHGA) are seeking a talented and driven individual to join our dynamic team. As a Data Steward/Bioinformatician, you will play a pivotal role in shaping the future of biomedical data storage, analysis, and dissemination using state-of-the-art cloud technologies and workflows. Join us in revolutionizing the field and making a lasting impact on biomedical research!
About Us:
The MDSI, located at TUM, is an interdisciplinary institute with a cross-faculty focus on data science and machine learning. Our mission is to facilitate and disseminate state-of-the-art technologies and IT infrastructures throughout the university and beyond. In collaboration with GHGA, a national network of secure data centers for archiving and processing human genome sequencing and other omics data, we are reshaping the way biomedical data is stored, analyzed, and disseminated. Our work involves leveraging cloud technologies and implementing cutting-edge tools and to build and harmonize workflows. The GHGA team at TUM hosted by the Chair of Computational Molecular Medicine is embedded into the local research community but also is fostering collaborations within the national and international consortia such as nf-core or EGA.
Role Description:
As a Bioinformatician, you will play a crucial role in the development, benchmarking, and execution of Next Generation Sequencing (NGS) workflows within GHGA. Working in a high-throughput environment, you will utilize the jointly developed OpenStack platform with the Leibnitz Rechenzentrum (LRZ) to enhance and secure the cloud infrastructure. Additionally, you will be a member of the nationwide GHGA consortium, where you will develop and apply state-of-the-art methodologies to improve and harmonize NGS workflows and ensure secure local workflow deployment. As an MDSI member, you will organize hackathons and workshops and provide support for diverse research data management activities and clusters within the TUM. Your expertise and active engagement with the local research community will contribute to the strategic development of future services at the university where you will contribute to support and consultation on projects requiring research data management expertise. Overall you will engage in more than 50% research.
Requirements:
- A strong background in developing and running NGS/Omics workflows (e.g. NextFlow, snakemake, WDL)
- Experiences in benchmarking NGS workflows
- Proficiency in utilizing the OpenStack platform to adapt and deploy the GHGA software stack
- Familiarity with methodologies and tools relevant to bioinformatics and research data management
- Knowledge of Linux system administration and containerization technology
- Excellent organizational skills to coordinate workshops, hackathons, and seminars
- Effective communication (in English) and interpersonal skills to engage with the local research community and contribute to strategic planning, writing, and consultation tasks
- University master degree or higher in Bioinformatics, Computer Science, or related subjects
Why Join Us:
- Opportunity to be at the forefront of advancing biomedical research through innovative data science and bioinformatics approaches
- International, attractive, and interdisciplinary working environment
- Working with world-leading IT partners such as the Leibnitz Rechenzentrum (LRZ)
- Salary according to TV-L including social benefits
- Flexible working hours and home-officing policy
- Possibilities for further scientific qualification and for personal development
- Disabled applicants with equal suitability and qualification will be given particular consideration
- The TUM is striving to increase the proportion of women and hence applications from women are therefore expressly welcomed
Application:
The full-time position is funded through the DFG for 1 year until the end of the funding period (30 September 2025) with a salary according to the TV-L (German academic salary scale). Subject to the likely extension of the DFG grant (2025 - 2030; in preparation), the position will also be extended for this period. The position can start as early as October 2024. Applications should include a cover letter, CV, and references and must be sent to application@mdsi.tum.de by 16 August 2024 referring to “Bioinformatician” in the email title. As an equal opportunity employer, TUM expressly encourages applications from women and all other persons who can bring additional diversity dimensions to the university's research and teaching strategies. The position is suitable for severely disabled persons. Severely disabled applicants will be given preference if their suitability, qualifications and professional performance are otherwise essentially equal.
More information:
https://www.mdsi.tum.de
https://ghga.de
https://www.cs.cit.tum.de/cmm
https://lrz.de
Prof. Dr. Stephan Günnemann
Technische Universität München
Munich Data Science Institute
Walther-von-Dyck-Straße 10
85748 Garching bei München
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