Leibniz Institute for the Analysis of Biodiversity Change (LIB), Bonn and Hamburg

The Leibniz Institute for the Analysis of Biodiversity Change (LIB) is one of the large, globally connected research museums of the Leibniz Association. In addition to excellent research on biodiversity and its change, we are advancing the further development of our extensive scientific collections with an international team and state-of-the-art technology. With our exhibition, knowledge transfer and communication work at our exhibition venues Museum Koenig Bonn and Museum der Natur Hamburg, we want to spread enthusiasm for nature and contribute with our research topics to current socio-political discussions on species loss, climate change and the protection of ecosystems. The construction of an integrated natural history museum is being planned for the Hamburg location; the research infrastructure at the Bonn location is currently being significantly expanded.

Become part of our institute in Bonn. We are looking for the next possible date, limited according to the part-time and fixed-term law for three years a

in full-time 39.83 hours/week or in part-time.

Your tasks:

• Design and prototypical development of a sequence database, including data modeling and the implementation of appropriate standards.
• Storage, management, and provision of sequence data and metadata in line with the FAIR principles.
• Collection of user requirements and corresponding implementing of a user interface.
• Integration, curation, and validation of sequence data and associated metadata, as well as the development of procedures for updating and versioning.
• Consideration of applicable legal and regulatory frameworks.
• Development of interfaces to existing research data infrastructures.
• Implementation of user roles and security mechanisms.
• Collaboration with research projects at the LIB.
• Presentation and publication of results at conferences and in peer-reviewed journals.
• Preparation and maintenance of technical documentation.

Your profile:

• A completed university degree (Master's or equivalent) in Bioinformatics, Computer Science, Life Sciences, or a related discipline.
• Strong expertise in database development (e.g., PostgreSQL), including data modeling and the design of interfaces (APIs).
• Excellent programming skills (e.g., in Python).
• Ideally, experience with genomic and/or transcriptomic sequence data, structured scientific metadata, and familiarity with relevant standards and data infrastructures in the field of molecular sequences.
• Experience in research data management and basic knowledge of legal and regulatory frameworks (e.g., GDPR, Nagoya Protocol) are considered an advantage.
• A self-driven and well-structured working style, combined with enthusiasm for interdisciplinary collaboration.
• Strong communication and teamwork skills, and excellent command of English.

We offer:

• An attractive position in an excellent research institution with a high degree of creative potential in a dynamic scientific and social environment.
• Remuneration according to the collective agreement of the federal states (up to EG 13 TV-L if the personal and job-related requirements of the collective agreement are met) with all the benefits of the public sector (company pension scheme, annual special payment, capital-forming benefits, collectively agreed vacation entitlement).
• Family friendliness certified by the "Work and Family Audit", offer of life coaching through professional family service.
• The possibility of obtaining a job ticket.
• A centrally located workplace with excellent transport links.

Please send your complete application documents (including cover letter, CV, copies of certificates, max. 10 MB) by 30.11.2025 exclusively digitally via our career portal https://8101202752.karriereportal.cloud/ to Ms. Winkels. For organizational reasons, only online applications will be accepted. We are a diverse institution and welcome our diversity. We would particularly like to encourage women to apply in order to actively promote equal opportunities. Severely disabled people will be given preference if equally qualified. You can find more information about our institution on the Internet at: https://leibniz-lib.de/