Bioinformatician/Computational Biologist

Auf einen Blick

• Tätigkeit: Forschungswissenschaftler im Bereich Bioinformatik, spezialisiert auf NGS-Daten.
• Arbeitgeber: Carl von Ossietzky Universität Oldenburg, ein innovatives und unterstützendes Team.
• Benefits: Mitarbeit in einem engagierten Team, Unterstützung bei Forschungsprojekten.
• Wieso dieser Job: Beitrag zur Genomik & Bioinformatik, Mitwirkung an Lehre und Forschung.
• Qualifikationen: Master oder PhD in Lebenswissenschaften, Erfahrung mit NGS-Daten und Programmierung.
• Was du noch wissen solltest: Teilnahme an der Lehre und kollaborativen Forschungsprojekten.

Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.

Bioinformatician/Computational Biologist

Carl von Ossietzky University Oldenburg

Oldenburg, Germany

We are seeking a highly motivated Research Scientist with experience in working with next-generation sequencing (NGS) data to join our collaborative and supportive team. The ideal candidate will have expertise in working with large sequencing datasets, developing reproducible and scalable bioinformatics workflows, and creating documentation and use-cases for novel software protocols. The successful candidate will work towards contributing to the mission of The Core Facility Genomics & Bioinformatics in supporting researchers who are using NGS technologies at the University and beyond, and work alongside with a team of dedicated professionals.

Your responsibilities:

• Establishing bioinformatics workflows to store and organize diverse NGS datasets (e.g., (meta) genomics, (meta) transcriptomics, etc.);
• Establishing bioinformatics workflows for the analysis of ‚omics sequencing datasets that rely on state-of-the-art best-practices, tools and strategies;
• Supporting users in project planning and analysing the collected data;
• Participating in graduate and undergraduate teaching efforts;
• Participating in collaborative research projects and proposal writing efforts.

Your qualifications:

• an academic university degree (Master or equivalent and preferable PhD in life sciences, computational sciences, statistics, or any other related field;
• High proficiency in the UNIX terminal environment and BASH programming, high proficiency in Python and/or other modern and mainstream scripting and/or programming languages;
• Experience with workflow managers such as Snakemake or Nextflow, distributed version control systems such as git, container development and deployment systems such as docker, and HPC workload managers such as slurm;
• Familiarity with the state-of-the-art computational strategies and software libraries that are commonly used in the analysis and interpretation of NGS datasets through applications of machine learning, biostatistics, and/or visualization;
• High level of motivation, creativity, self-responsibility and self-organization;
• Demonstrated experience in scientific paper writing, figure making, and publishing processes;
• Excellent communication skills in written and spoken English.