Computational Biologist / Bioinformatician /PhD (Postdoc)

About us

The School VI of Medicine and Health Sciences comprises the fields of human medicine, medical physics and acoustics, neurosciences, psychology and health services research. Together with the four regional hospitals, School VI forms the University Medicine Oldenburg. Furthermore, the university cooperates closely with the University Medicine of the University of Groningen.

As part of a bigger initiative, our groups use multi-omics approaches (genomic, metagenomic, transcriptomic and metabolomic) to elucidate the molecular basis of human pathologies. In addition, we apply different omics techniques to study normal development and disease progression in different cohorts. Our groups collaborate with European and international teams on large-scale population-based projects. These approaches generate a large amount of valuable biological data

Your tasks

The position holder is expected to analyse long-read sequencing data and develop computational pipelines and omics data integration to identify genetic alterations and molecular mechanisms.

Tasks include: 

• Establishing bioinformatics workflows to store and organize diverse Illumina and long-read ONT datasets.
• Establishing bioinformatics workflows for the analysis of ‘omics sequencing datasets that rely on state-of-the-art best-practices, tools and strategies.
• Project planning and analysing the collected omics datasets.
• Participating in graduate and undergraduate teaching efforts.
• Participating in collaborative research projects and proposal writing efforts.

Your profile

• Applicants should hold an academic university degree (Master or equivalent) and 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.
• Familiarity with the state-of-the-art computational strategies and software libraries that are commonly used in the analysis and interpretation of NGS and OMICS datasets.
• 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.

We Offer

• Payment in accordance with collective bargaining law (special annual payment, public service pension scheme, asset-related benefits) incl. 30 days annual leave
• Support and guidance during your onboarding phase
• A family-friendly environment with flexible working hours (flexitime) and the possibility of pro-rata mobile work
• Benefits from the university's health promotion programme
• An extensive and free further education programme as well as programmes geared toward the promotion of early career researchers (https://uol.de/medizin/nachwuchs)

Our standards

The University of Oldenburg is dedicated to increase the percentage of female employees in the field of science. Therefore, female candidates are strongly encouraged to apply. In accordance to § 21 Section 3 NHG, female candidates with equal qualifications will be preferentially considered. Applicants with disabilities will be given preference in case of equal qualification.