The University of Innsbruck seeks a Data Steward & Research Software Officer to support and further develop data- and analysis-intensive work in economics and statistics. The position combines substantial technical responsibility with close intellectual proximity to empirical research and advanced analytical practice.
The role is aimed at candidates with first-hand experience in empirical research or research-adjacent analytical environments who also enjoy designing and implementing high-end technical solutions. You will contribute to the development and maintenance of a modern data and software infrastructure that meets the requirements of 21st-century empirical science.
In this position, you serve as a key interface between researchers and IT services, translating analytical and research requirements into sustainable technical solutions.
Your tasks:
- Design and maintain secure, scalable data infrastructures with central IT services.
- Curate datasets and manage integration, documentation, and access rights.
- Implement data archiving and reproducibility solutions.
- Translate user requirements into technical solutions at the IT interface.
- Support data- and software-intensive projects.
- Develop software tools, workflows, and automated data pipelines (e.g. Python, R).
- Advise on FAIR data, Open Science, and sustainable data management.
- Provide technical input for projects and proposals.
Your profile:
- Completed diploma, master's degree or PhD in data science, statistics, business informatics, economics or a related field
- Strong knowledge of data management, data architecture and IT security
- Experience in the development of software, data pipelines and workflows (e.g. in Python or R)
- Interest in or experience with methods and principles of reproducibility and open science (FAIR Data)
- Experience with databases, APIs and cloud computing systems
- Knowledge of research practice and understanding of research processes, own empirical research experience is an asset
- Interest in or experience in consulting and training
- Very good command of English; willingness to learn German
- Strong communication and teamwork skills
- Creativity and problem-solving skills
- Ability to work independently and reliably
Our offer:
We offer a stimulating and intellectually engaging position at the intersection of research and IT. The core appointment comprises 20 hours per week at Digital Science Services, with the option to take on an additional 20 hours per week as a postdoctoral researcher or senior scientist at the Faculty of Economics and Statistics for a period of up to six years.
You can expect a diverse range of tasks, flexible working hours, and a family-friendly working environment. The University of Innsbruck actively supports continuous professional development through attractive training and further education opportunities. In addition, it offers a comprehensive benefits package, including a paid lunch break and meal allowance
(see: https://www.uibk.ac.at/en/career/additional-benefits/).
Application:
We are looking forward to receiving your online application via https://lfuonline.uibk.ac.at/public/karriereportal.details?asg_id_in=15485 by 20.01.2026 stating the code PERS.Abt.-15485. Please note that you need to apply via our online portal.
Contact:
If you have any questions, please contact:
Faculty of Economics and Statistics
Markus Walzl, Dean
Phone: ++43 512 507-71011
Email: markus.walzl@uibk.ac.at
The University of Innsbruck emphasizes equal opportunities and diversity in its personnel policy.
The University of Innsbruck strives to increase the percentage of women and thus expressly encourages women to apply. This is particularly true for leading positions and scientific job offers. In case of underrepresentation, women with the same qualifications will be given priority.
The University of Innsbruck bears the "We are inclusive" seal of approval. We therefore expressly invite qualified individuals with disabilities and/or chronic illnesses to apply.
To apply, visit https://lfuonline.uibk.ac.at/public/karriereportal.details?asg_id_in=15485. (See posting for details.)