Research Scientist, Microbial Genomics & Bioinformatics

 
Published
WorkplaceZürich, Zurich region, Switzerland
Category
Position
Occupation rate
100%

Agroscope is the Swiss federal centre of excellence for research in the agriculture and food sector. Its researchers carry out their work at a number of sites in Switzerland. Headquartered in Bern-Liebefeld (as of 2025: Posieux, Canton of Fribourg), Agroscope is attached to the Swiss Federal Department of Economic Affairs, Education and Research EAER.

Agroscope is looking for a:

Research Scientist, Microbial Genomics & Bioinformatics

100%-100% / 8046 Zürich-Reckenholz (planned from 2025 Place of work Posieux)

good food, healthy environment
The ’Molecular Ecology’ Research Group focuses on the promising field of agri-genomics, using microbial genomics and bioinformatics methods to investigate inter alia the composition and utilisation of microbiomes relevant to agriculture and food and their important representatives, e.g. in soil, plants and fermented foods, and in the fields of biological control, reduced use of plant protection products and soil quality.

Your Tasks

  • De novo genome assembly of NGS data from various technologies (Illumina, PacBio, Oxford Nanopore Technologies), genome annotation of microorganisms (bacteria, yeasts, fungi) as well as comparative genomics analyses to identify core, accessory, and strain-specific genes of the isolated strains compared to already known strains.
  • Data analysis of RNA-Seq and other OMICS data (differential gene expression analysis to identify relevant candidate genes), pathway and gene set enrichment analyses, plus integrative data analysis and data mining, e.g. to decipher potential mechanisms of action.
  • Presentation of results in publications and at conferences; writing of scientific reports.
  • Expansion/maintenance of existing analysis pipelines (genome assembly, transcriptome analyses, etc.).
  • Acquisition of third-party funds; supervision of students; deputy team leader.

Requirements

  • Experienced scientist (MSc degree) with a PhD in Bioinformatics/Computational Biology and several years as a postdoc with relevant programming experience (Python, Linux scripting/bash, R, Java).
  • Demonstrated experience in the analysis and integration of functional genomics data (genome assembly, comparative genomics, RNA-Seq, other OMICS data, pathway analysis, deciphering potential mechanisms of action). Knowledge of metagenomics data analysis is desirable.
  • Execution/management of collaborative research projects (supervision of students); acquisition of third-party funding.
  • Motivated, highly productive personality with strong teamwork and communication skills.
  • The post requires a knowledge of two official Swiss languages and very good spoken and written English.

We offer

We offer you a challenging job in an interesting working environment and collaboration in a dynamic team as well as attractive, modern employment conditions.

The Federal Administration is attentive to the different needs and backgrounds of its employees and promotes diversity. Equal treatment is a top priority.

Contact and Address

Additional information
If you are interested in this position and meet the requirements, we look forward to receiving your online application, including the contact information of 2-3 referees, at www.stelle.admin.ch, Ref. Nr. 1931.

English is not an official Swiss Language – please select German, French, or Italian as your correspondence language.

Additional information (before the end of July) can be obtained from Christian Ahrens, Head of the Microbial Genomics & Bioinformatics Team (Tel: +41 58 460 6114) and Group Leader at SIB Swiss Institute of Bioinformatics (https://www.sib.swiss/ahrens-christian/); email: christian.ahrensagroscope.admin.ch.

Start date: 1 Oct 2022, or according to specific arrangement. The contract is initially for a set period of three years with the option of transferring to a permanent post.

Reference number: JRQ$540-1931
Apply online

Web


www.agroscope.admin.ch
In your application, please refer to myScience.de and reference JobID 177166.

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