Programmer for Scientific Data Management (f/m/d)
Arbeitgeber: Senckenberg Gesellschaft für Naturforschung
Kurzinfo
- Tätigkeitsfeld
- IT und Telekommunikation
- Ort
-
Frankfurt
Karte anschauen - Arbeitszeit
- Teilzeit
- Anstellungsdauer
- Befristet
- Bewerbungsfrist
- 14.12.2025
- Laufbahn / Entgeltgruppe
- Gehobener Dienst
- Kennziffer
- Ref. #01-25068
- Kontakt
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Tätigkeitsprofil:
Programmer for Scientific Data Management (f/m/d)
(part time: up to 60%)
Type of contract: Temporary, limited to 36 months
Remuneration: Collective agreement of the state Hesse (TV-H) / E11
Founded in 1817, Senckenberg Gesellschaft für Naturforschung (SGN) is one of the world’s leading research institutions in the field of biodiversity. At our twelve sites in Germany, scientists from over 40 nations conduct cutting-edge research on an international scale. Our headquarter is located in the thriving commercial metropolis of Frankfurt (Mainhatten) in the heart of Germany, which also hosts one of our most famous facilities, the Senckenberg Natural History Museum.
The Geobiodiverstiy Information and Data Management team contributes to the development of national and international research data infrastructures, making Senckenberg’s natural history collections and geobiodiversity research data sustainably accessible for interdisciplinary usage. Our team is dedicated to managing, storing, archiving, and publishing diverse types of geobiodiversity data and metadata.
GFBio (Gesellschaft für Biologische Daten e.V.) constitutes a platform for managing, sharing, and preserving biological research data and expertise throughout Germany. Currently, 10 Data Centers serve as infrastructure partners within the GFBio network, supporting the curation, archiving, and publication of biodiversity data. Senckenberg hosts a GFBio Data Center, and data submitted through GFBio are transferred to the infrastructure improved and established by the appointed candidate. The aim is to enhance our infrastructure for the curation and archiving of various biological data, starting with information on physical collection objects, continuously extended by further data types. This development project is funded by NFDI4Biodiversity, part of NFDI, the German National Research Data Infrastructure Program.
The project position is part of our Senckenberg Data and Modelling Center (SDMC) with experts in the areas of biodiversity research data management and service development at the Senckenberg Institutes, so that comprehensive training in the relevant subject areas is guaranteed.
Your tasks
- Enhancing SGN Data Center infrastructure for the curation and archiving of various biological data, starting with information on physical collection objects, continuously extended by further data types
- Extending databases, implement APIs for data transfer
- Ensuring data security, including rights management
- Establishing versioning of datasets, usage of suitable archiving formats and backup strategies
- Communication with colleagues (Central IT, SDMC) for integration with internal workflows and systems
- Communication with GFBio Data Center group (exchange and status reports)
- Support the Core Trust Seal Certification process
- Find individual solutions for data submitted through GFBio as well as sustainable general workflows
Anforderungsprofil:
Your profile
- Completed university/technical college degree in computer science, bioinformatics, geoinformatics, or comparable qualification
- Experience with building, maintaining, and connecting databases, data exchange formats and structures (PostgreSQL, XML, JSON)
- Knowledge of APIs and corresponding specifications (OpenAPI)
- Knowledge of archiving formats and standards, and backup procedures
- Knowledge of version control systems (Git)
- Good communication skills and the ability to implement software solutions independently, but in close discussion with cooperation partners
- Very good communication skills in both written and spoken German and English
- Team-oriented, structured, and flexible working style, ideally with thewillingness to travel for training, meetings and presentations
Desirable skills
- Experience with biological data, taxonomic knowledge (ABCD, DarwinCore)
- Experience in Research Data Management
- Knowledge of FAIR principles and their implementation