Scientist in Cloud Computing; Bioinformatics
Technical University of Munich Department of Experimental Cardiology
Germany

Scientist Cloud Computing - Bioinformatics (m/f/d) Health Research Cloud setup and collaborative Multi-OMICs Data Analysis

20.07.2022, Wissenschaftliches Personal

The German Heart Center of the Free State of Bavaria associated to the Technical University of Munich is a clinic with international reputation and a state of the art technical and medical equipment. The Department of Experimental Cardiology is seeking a Scientist Cloud Computing - Bioinformatics (m/f/d) Health Research Cloud setup and collaborative Multi-OMICs Data Analysis You will be part of DigiMed Bayern (https://www.digimed-bayern.de/en.html), the lighthouse project in Bavaria to enable P4-medicine (predictive, preventive, personalized, participatory), which is one of the world's most promising developments for improved, holistic and efficient healthcare. As a part of the German Heart Center research team, you will drive research in cardiovascular disease and work closely with our partners at the Leibniz Supercomputing Center (LRZ), running one of the fastest computers worldwide. Together we are in the middle of building a long-term and internationally prestigious cutting-edge secure health research cloud to enable collaborative biomedical research.

Major tasks:

- Key person to oversee, drive, build, administrate and deploy core data and software building blocks of the Health Research Cloud
- Interact with a strong multi-site team of renowned bioinformaticians, scientists and infrastructure specialists
- Deploy, operate and scale our local data lake in the research cloud
- Improve established in-house pipelines for multi-omics and clinical data
- Deploy existing pipelines and data sets in the cloud setting
- Interact with collaboration partners to assess and then implement requirements for the centralized Health Research Cloud
- Train project partners to successfully perform their analyses in our cloud

What you bring:

- Keen interest in contributing to public health at the interface of informatics and biomedical research
- University degree in computational biology, (bio-)informatics or related field
- Doctoral degree in one of the above-mentioned fields with expertise in software development and management of medical data (omics data, imaging data and clinical data) would be a plus. Alternatively, based on relevant experience, it would also be possible to carry out a PhD Thesis.
- Experience in at least one of the following programming languages: python, R, java
- Experience with database technologies (SQL, mongoDB, neo4j, …)
- Experience in cloud based or HPC systems (e.g. OpenStack, workload managers, etc.)
- Excellent English language skills (spoken and written)
- Strong communication skills
- Ability to work in an interdisciplinary team

What we offer:

We offer excellent possibilities for your professional development in an interdisciplinary, fast-pacing and exciting scientific environment. You will be a key person to build and apply an internationally leading Health Research Cloud with real impact on patients, on science and on society. The payment will be according to TV-L. The position is full time and initially limited to two years. Besides flexibility with working place and time, and attending conferences, we offer subsidized public transport, attractive sport programs, access to the water sports spot at lake Starnberg, use of our day care center and much more.
Munich is ranked on worldwide top positions with its Universities, Research Centers, Clinics and also with its quality of life.

The German Heart Center Munich promotes professional equality between women and men and provides the same employment opportunity for severely disabled people in case of equal qualifications.

Contacts:

- Ulrich Güldener, Bioinformatic – Digital Transformation Manager, Telephone + 49 89 1218 2517
- Thomas Schmid, Head of Recruiting, Telephone +49 89 1218 1734

Please send us your application until September 30th, 2022 by E-Mail to: career@dhm.mhn.de
Interview expenses will not be reimbursed.

Hinweis zum Datenschutz:

Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben.

Kontakt: Herr Schmid, Personalgewinnung, Telefon-Nr. (089) 1218-1734; E-Mail-Adresse: bewerbung@dhm.mhn.de

Mehr Information

https://www.jobcluster.de/stellenangebot/scientist-cloud-computing-bioinformatics-m-f-d-br-health-research-cloud-setup-and-collaborative-multi-omics-data-analysis--job-muenchen-71698.html?tc=2-1422&custom_header=1&frame=dhm


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