Job
- Level
- Experienced
- Job Field
- BI, Data
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Salary
- from 48.304 € Gross/Year
- Location
- Graz
- Working Model
- Onsite
Job Summary
In this role, you will develop training and technical documentation for research data management, while supporting researchers in data processing and ensuring data quality standards.
Job Technologies
Your role in the team
- Ensuring compliance with the FDM policy and collaborating with the Data Governance Committee and other data-related entities.
- Support for researchers at the Institute of Psychology and the Center for Psychotherapy at the University of Graz in the use of research data infrastructures as well as in the management and processing of larger datasets.
- Development of training programs, guidelines, and technical documentation for professional research data management and the use of digital systems.
- Structuring, consolidating, and maintaining data from various central and decentralized sources, as well as supporting efficient data pipelines and data structures (e.g., MRI LAB, PRISM-Studio).
- Creation and maintenance of technical, thematic, and project-specific metadata, as well as ensuring data quality and consistency (e.g., MRI data management BIDS).
- Development, implementation, and further development of digital structures at the Center for Psychotherapy at the University of Graz. Establishment of digital clinical systems and applications in the psychotherapeutic context.
- Development of data protection, role, and access concepts for the secure processing of sensitive health data - Establishment of a documentation system in the psychotherapeutic teaching and research outpatient clinic.
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Our expectations of you
Education
- Completed technical or specialized degree.
- Knowledge or training in Data Stewardship and Data Management.
Qualifications
- Knowledge in data processing, analysis, and visualization, ideally in a scientific environment (desirable).
- Knowledge of data protection and data security, ideally in handling sensitive health data (desirable).
- Very good knowledge of German and English.
- Willingness to learn, independence, solution orientation, and reliability.
- Interest in modern technologies.
- Team and communication skills.
- Structured and responsible work approach.
- High stress resilience.
Experience
- Experience in creating and maintaining metadata as well as in data management.
- Basic knowledge of programming (e.g., Python, R, or SQL) as well as experience with structured data formats (XML or JSON) and experience with Git.
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What we offer
- We offer meaningful work for the world of tomorrow.
- Our internal training program is as diverse as a university.
- We offer interdisciplinary, cross-professional opportunities for collaboration.
- Of course, all the common benefits are available, from A for flexible working hours to Z for access to 375 affordable sports courses at USI.
- In addition to the diverse range of scientific disciplines, we offer a working environment where diversity and inclusion are actively practiced and highly valued.
- We demonstrate flexibility not only through various working time models but also with offers that support the reconciliation of family and work.
- We offer an annual gross salary based on full-time employment of at least €48,304.20. Overpayment depending on qualifications and experience is possible.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Karl-Franzens-Universität Graz
Graz
The Karl-Franzens University in Graz, founded in 1585, is Austria's second oldest university and one of the largest in the country. Numerous outstanding scholars have taught and researched here, including six Nobel Prize winners.
Description
- Founding year
- 1585
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System
Data Steward
- Salary
- from 48.304 € Gross/YearNet salary converted from the gross salary in the job ad.from 34.604 € net/Year
- Location
- Graz
- Working Model
- Onsite
- Diversity
- Open for all genders
