Data Steward
Role details
Job location
Tech stack
Job description
The successful candidate will support and advance research in mass spectrometry-based small-molecule omics, including metabolomics, lipidomics, and related qualitative and quantitative workflows. The Data Steward will establish and maintain robust data management practices, curating qualitative and quantitative databases, ensure long-term preservation and accessibility of raw and processed data, and enabling reproducible, FAIR-compliant research workflows. The position involves close analytical scientists, bioinformaticians, IT services, and interdisciplinary research teams. The Data Steward will contribute to building sustainable data infrastructures to support cutting-edge small-molecule omics and multi-omics research at the MSC as a service.
The position is initially limited to 1 year, after which there is the possibility of permanent employment.
Your future tasks:
This involves:
- Maintenance and upgrade of quantitative biomolecular databases and metadata
- Implementation of data management plans and FAIR data principles
- Development and maintenance of standardized data structures for raw MS data, metadata, processed datasets, and result files
- Design and implementation of Data Management Plans (DMPs) for research projects and MSC operations, ensuring alignment with institutional, national, and international funding requirements
- Collection, curation, and standardization of experimental metadata, including sample information, preparation protocols, instrument parameters, quality control metrics, and analytical workflows
- Preservation, annotation, documentation, and versioning of raw and processed datasets
- Streamlining and harmonizing data workflows across diverse omics platforms and associated domains
- Participation in interdisciplinary research projects, collaborative initiatives, and research infrastructure
- Contribution to grant proposals related to data infrastructure and open science
- Preparation of SOPs, documentation, guidelines, and training materials for data handling
- Teaching and training in research data management, FAIR principles, and reproducible computational workflows
- Supervision and support of students and researchers in data-related topics
- Participation in evaluation measures, quality assurance processes, and departmental administration
- Development and maintenance of quantitative databases and repository-ready datasets for small-molecule omics, including preparation and submission to public or institutional repositories
- Coordination of data archiving strategies, backup solutions, access control, and data security measures in collaboration with IT services and data protection offices
Requirements
If you love working in a laboratory environment, and preferably on meaningful projects, then welcome to the team! We have a team of individuals who want to do something meaningful for society through their work. In a place where exchange is successful, with the necessary freedom, professionalism, and high standards., * MSc data science, or data steward, or related
- Experience with research data management, metadata standards, and FAIR principles
- Proven skills in handling large-scale raw data and long-term data preservation
- Experience with database structures and data repositories for omics data
- Strong programming skills (at least in Python), familiarity with workflow automation is an advantage
- Knowledge of statistical concepts and quality control
- Excellent communication, documentation, and data visualization skills
- Very good English skills (German is an advantage)
- Ability to work independently and collaboratively across disciplines
- Strong organizational skills and ability to manage multiple projects
- Your special working style: You like to work independently and in a structured manner, you are service-oriented and you like to find solutions. You are a team player and have high social and communicative skills.
In addition, we expect the successful candidate to have:
- Experience working in interdisciplinary teams and research environments
- Experience with open science, data sharing, and reproducibility initiatives
- Teaching or training experience in data management or related topics
- Contributions to collaborative research projects or infrastructures
- Experience with international data standards and repositories (desirable)
- Knowledge of university and core facility structures and processes (desirable)
- Experience abroad and supervising students (desirable)
Benefits & conditions
- Work-life balance: Our employees enjoy flexible working hours, remote/hybrid and/or part-time work (upon agreement), flexible working arrangements and family-friendly structures.
- Inspiring working atmosphere: You are part of a dedicated team with a diverse university background in a relaxed working environment.
- Good public transport connections: Your new workplace in the center of beautiful Vienna is easily accessible by public transport.
- Internal further training: We offer you the opportunity to deepen your skills on an ongoing basis.
- Fixed-term contract and fair salary: The position is initially limited to 1 year with the option of subsequent permanent employment. The basic salary of EUR 3.450,30 (full-time) increases, if we can credit professional experience.
- Equal opportunities for everyone: We offer highly inclusive and non-discriminatory working environment. We look forward to every additional personality in the team!
In addition:
- A key role in creating a sustainable multi-omics data infrastructure
- Work in a well-renowned, state-of-the-art Mass Spectrometry Core Facility at the heart of the University of Vienna
- Active contribution to reproducibility and Open Science initiatives
- Collaboration with interdisciplinary research teams
- Opportunities for professional development