Genomics Data Analyst (w/m/d) – Genomics Core Facility

The Bavarian State Collections of Natural History (Staatliche Naturwissenschaftliche Sammlungen Bayerns, SNSB) is among the oldest and largest research collections in the world, comprising natural history collections from the fields of zoology, botany, geology, palaeontology, mineralogy, anthropology and palaeoanatomy – including the living collections of the Botanical Garden. Around 280 employees archive and conduct research on around 33 million collection items. The SNSB’s collection, research and knowledge transfer activities focus on geo- and biosphere change, with a particular emphasis on alpine systems through time and space. By our national and international research efforts, we contribute significantly to a deeper understanding of geo- and biodiversity and the impacts of human activity on the Earth’s ecosystem.

The Genomics Core Facility supports the SNSB working groups in all aspects of their scientific research relating to genomics. As a project partner, it carries out the necessary laboratory work and bioinformatic analysis, acts as a focal point for genomics at the SNSB and monitors and evaluates the development of new methods.

We are looking for an

Employee (f/m/d) at the Genomics Core Facility of the SNSB – in the role of a Genomics Data Analyst

full-time, initially limited until 31.12.2025

Tasks:

  • Design, implementation and application of analysis pipelines for the evaluation of genomic and transcriptomic datasets
  • Quality control of data, phylogenomic analyses
  • Assembly and annotation of reference genomes of non-model organisms (plant and animal) at scaffold or chromosome level, comparative analyses with genomes of closely related species
  • Development of workflows and tools for sequence data analysis, possibly using container technologies (Docker, Singularity) and workflow engines (Nextflow, Snakemake), including the training of SNSB researchers in their application
  • Biological analysis and preparation of results
  • Documentation in electronic format (Benchling, etc.); assist in publication writing
  • Establishment and further development of new methods and technologies

Required qualifications:

  • University degree and doctorate in the field of life sciences with a focus on bioinformatics and/or systematics
  • Experience with next generation sequencing technologies (Illumina, PacBio, Oxford Nanopore) and the analysis of genomic raw data, especially in the context of whole genome assembly
  • Knowledge of Linux/Unix and programming in the common scripting languages (R, Python, BASH and/or others)
  • Written and spoken German skills are desired, but not required
  • Enjoy problem-solving and optimizing analysis workflows in various server and work environments
  • Strong teamwork and organizational skills, and diligence when working on different projects in parallel
  • Willingness to undergo continuous further training

We offer:

  • A future-oriented, responsible and varied function using a variety of modern working techniques and technologies in a scientific environment that is constantly evolving
  • An interesting and varied job in the public sector, as well as all the benefits of working for the Free State of Bavaria
  • A stimulating and diverse interdisciplinary working environment with various collaborations with the research groups and museum institutions of the SNSB and LMU
  • A job in Munich, one of the most attractive cities in Germany, with a particularly high quality of life
  • Remuneration in accordance with the collective agreement of the federal states (TV-L E13)

Are you interested?

We look forward to receiving your informative and complete application documents with cover letter, CV and certificates by 15.03.2025 at the latest at personal@snsb.de. If you have any questions about the details of the position, please contact Dr. Agnes Scheunert (scheunert@snsb.de) or Prof. Dr. Gudrun Kadereit (G.Kadereit@snsb.de). For questions about the procedure or application process, please contact Ms. Susann Windisch (personal@snsb.de).

Severely disabled applicants will be given preference if their qualification is otherwise essentially equal. In order to achieve equality between women and men, there is a particular interest in applications from women. Please note that application documents will be destroyed and not returned once the procedure has been completed.