The German Human Genome-Phenome Archive (GHGA) is a new national data infrastructure as part of the NFDI program of DFG tasked with building an infrastructure for managing and analyzing human omics data in Germany.
The GHGA site in Tübingen is looking for a
Data Steward (m / f / d; TV-L E13, 100%, 3 years)
to develop and employ state-of-the-art computational data management techniques to process, integrate and access high-throughput omics data, initially with a focus on COVID-19 patient genomes.
The already established infrastructure at University of Tübingen provides functionality to manage omics data and interfaces to clinical systems.
This project aims at integrating omics (e.g. host and virus genome sequencing) data to facilitate and automate data handling for improved diagnostics and treatment.
Furthermore, the project aims at establishing data infrastructures for similar human omics data sets in the context of the GHGA.
The ideal candidate should have a solid background in bioinformatics or computer science. Previous experience in data science methods, especially for data integration is required.
The ideal candidate brings significant experience in data governance and data architecture. Furthermore, the candidate should be familiar with several scripting and programming languages.
Experience in molecular and cellular biology will be a benefit. The employment (TV-L E13, 100%, 3 years) will be arranged by the administration of the University of Tübingen.
The starting date is as soon as possible.
Disabled persons will be preferred in case of equal qualification. The University of Tübingen aims at increasing the share of women in science and encourages female scientists to apply.
Applications including CV, motivation letter (incl. statement of interest for this position), transcripts, overview of techniques and methods used in the past, and contact address of two referees should be sent by email before September 18 2020 to katrin.
leichtlespam prevention uni-tuebingen.de.