The Quantitative Biology Center (QBiC) at the University of Tübingen is inviting applications for Bioinformatician / Life Scientist (Postdoc or PhD level). This position is partially funded by the Chan-Zuckerberg Initiative on Essential Open Source Software for Science awarded to the nf-core and Nextflow projects.
Role and responsibility:
- Contributing to the development and maintenance of nf-core tools, including support for Nextflow DSL2 and modules ( nf-co.re ).
- Developing cutting-edge machine learning applications with
- multi-omics data from public repositories and curated in-house datasets.
- Expanding our NGS metadata models to support the development of automated analyses and machine learning applications.
Requirements:
- Candidate must have an MSc or PhD level degree in Bioinformatics, Biotechnology, or other Life Sciences, with previous data science experience.
- Previous python programming experience is required, NGS data analysis experience is a plus.
- Previous experience with machine learning and multivariate data analysis is a plus.
- Experience with HPC clusters, cloud computing, and workflow systems will be beneficial but are not required as training opportunities are provided.
- Excellent communication skills and a collaborative mindset.
- Enthusiasm and a commitment to research.
Applications:
Application to be sent as one PDF via e-mail to Katrin Leichtle, katrin.leichtle@qbic.uni-tuebingen.de including motivation letter and CV.
—————–Quick Overview————- | |
Organization | University of Tübingen |
Country | Germany |
Fellowship Level | Postdoctoral/Doctoral |
Subject areas | Bioinformatics, Biotechnology, Life Sciences |
Fellowship amount | Varies |
Eligibility | Open to all nationalities |
Deadline | 30th June 2020 |
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