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UN
University of Vienna
yesterday

Data Steward for Small-Molecule Omics and Research Data Management(m/w/x)

Wien
from 3,450.3 / month
Full-time, Part-timeWith Home OfficeExperienced

Description

You will drive open science by building sustainable data infrastructures and managing complex omics datasets, ensuring research remains reproducible, FAIR-compliant, and cutting-edge.

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Requirements

  • MSc data science, data steward, or related
  • Experience with research data management and FAIR
  • Skills in large-scale raw data handling
  • Experience with database structures and omics repositories
  • Strong Python skills and workflow automation familiarity
  • Knowledge of statistical concepts and quality control
  • Excellent communication, documentation, and visualization skills
  • Very good English skills (German advantageous)
  • Ability to work independently and collaboratively
  • Strong organizational and project management skills
  • Independent, structured, service-oriented, and team player
  • Experience in interdisciplinary teams and research
  • Experience with open science and reproducibility
  • Teaching or training experience in data management
  • Contributions to collaborative research projects
  • Experience with international data standards (desirable)
  • Knowledge of university facility structures (desirable)
  • Experience abroad and supervising students (desirable)

Education

Master's degree

Tasks

  • Carry out all position-related tasks independently
  • Participate actively in research and data infrastructure development
  • Support teaching and manage software and hardware administration
  • Advance research in mass spectrometry-based small-molecule omics
  • Establish and maintain robust data management practices
  • Curate qualitative and quantitative databases
  • Ensure long-term preservation and accessibility of data
  • Enable reproducible and FAIR-compliant research workflows
  • Collaborate with analytical scientists, bioinformaticians, and IT services
  • Build sustainable data infrastructures for multi-omics research
  • Maintain and upgrade quantitative biomolecular databases and metadata
  • Implement data management plans and FAIR principles
  • Develop standardized structures for raw and processed data
  • Design project-specific Data Management Plans for funding requirements
  • Collect and standardize experimental metadata and protocols
  • Annotate, document, and version raw and processed datasets
  • Harmonize data workflows across diverse omics platforms
  • Contribute to grant proposals for data infrastructure
  • Prepare SOPs, guidelines, and training materials
  • Train researchers in FAIR principles and computational workflows
  • Supervise students and researchers on data-related topics
  • Participate in quality assurance and departmental administration
  • Submit repository-ready datasets to public or institutional archives
  • Coordinate data archiving, backups, and security with IT

Tools & Technologies

Python

Languages

EnglishBusiness Fluent

GermanBasic

Benefits

Flexible Working

  • Flexible working hours
  • Remote or hybrid work
  • Part-time work options
  • Flexible working arrangements

Family Support

  • Family-friendly structures

Other Benefits

  • Dedicated team

Informal Culture

  • Relaxed working environment

Parking & Commuter Benefits

  • Central Vienna location
  • Accessible by public transport

Learning & Development

  • Internal further training
  • Professional development opportunities
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