Scientific Lead Silva Database - Braunschweig, Deutschland - Leibniz Institut DSMZ - Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH

Leibniz Institut DSMZ - Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH
Leibniz Institut DSMZ - Deutsche Sammlung von Mikroorganismen und Zellkulturen GmbH
Geprüftes Unternehmen
Braunschweig, Deutschland

vor 2 Wochen

Lena Wagner

Geschrieben von:

Lena Wagner

beBee Recruiter
Beschreibung

Job offer 12/24
The Leibniz Institute DSMZ-German Collection of Microorganisms and Cell Cultures GmbH, Braunschweig offers the position for a


Scientific Lead SILVA Database (M/F/d)


The position has a salary level up to TV-L 14 according to the qualification and is initially limited to 2 years with the perspective to become a
permanent position.

The position is offered as full time (39.8 hours per week).


SILVA is a well-established and renowned database provides comprehensive quality checked ribosomal RNA reference sequence data and accompanying web services and tools.

The datasets are used by thousands of researchers worldwide as a basis for their research.

As the
scientific lead of the SILVA database, you will be responsible to guide the development of this scientific webservice to align data and services with the scientific user needs.

Together with the technical lead and the DSMZ team of biologists and software developers you will improve the existing structure and develop new features.

As the responsible taxonomic scientist, you will ensure that SILVA's taxonomic framework aligns with related resources like LPSN, GTDB and RDP.

Your task is to create a reference taxonomy by integrating various internal and external resources of nomenclature and classification. This also includes defining and naming clades of uncultured organisms. The position serves as a central knowledge hub for molecular taxonomy at DSMZ and beyond.


Your responsibilities:


  • Adapting the SILVA service portfolio to account for current and future needs in microbial ecology
  • Further developing and curating the SILVA taxonomy with respect to international developments, including the integration of external taxonomies
  • Curating the reference datasets considering national and international authorities like Bergey's Manual
  • Running the SILVA pipeline to calculate releases in cooperation with the team
  • Providing input for improvements of the curation system and the SILVA services
  • Answering user requests within the SILVA helpdesk
  • Communication of results in workshops and connecting with the expert communities
  • Publication of scientific results

Your profile:


  • Ph.
D. degree in biology or a related field.

  • Experience in rRNA related topics
  • Accuracy and qualityorientation
  • Intrinsic motivation and teamspirit
  • Fluent in English / knowledge in German is beneficial
  • Proven ability in writing scientific publications
  • Willingness to undertake occasional business travel

We offer:


  • An interdisciplinary working environment with frequent exchange of experience
  • Participation in building a research data infrastructure
  • Motivated colleagues and a pleasant working atmosphere in a scientific area
  • Further development and support of scientific web services at the DSMZ
  • Plenty of room for creativity & challenging topics
  • Participation in the selection of personal hardware
  • Opportunities for further education and training
  • An employer certified according to audit berufundfamilie, therefore flexible possibilities to combine work and family life
This position can be located in Bremen or Braunschweig, and is not suitable for fully remote work.


About the DSMZ and new biodata infrastructure DSMZ _Digital Diversity_**:

The Leibniz-Institute DSMZ-German Collection of Microorganisms and Cell Cultures establishes an integrated suite of scientific databases of fundamental relevance for life sciences.

The databases include BRENDA, SILVA, LPSN, Bac_Dive_ and TYGS which are developed in a highly coordinated manner.

A dedicated team of 22 scientists and software engineers creates a research data infrastructure which will significantly improve the access to curated and standardized biological data.

The resulting data platform DSMZ _Digital Diversity_ will provide an integrated resource and will allow to link and comprehensively analyze the different types of scientific data from all domains of life sciences.

For more information visit


The DSMZ is an equal opportunity employer, supports balanced work-life career development, and holds the certificate of the audit berufundfamilie.

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