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  • Universität Regensburg
  • Science support

Data Scientist (m/f/d)

Research Data Mangement

Job description

As a Data Scientist, you will support researchers within the CCE Cluster of Excellence systematically preparing their scientific data in a reproducible and standards-compliant manner. In doing so, you will combine technical and domain-specific expertise to develop tailored solutions for data-intensive research processes. You will design and establish simple and efficient workflows that enable the transformation of raw data into publication-ready datasets in accordance with Open Science and FAIR principles. Furthermore, you will shape your support services in such a way that they integrate seamlessly into the working routines of doctoral researchers and postdoctoral scientists, providing immediate added value to their scientific productivity. The overall aim is to establish the application of Open Science and FAIR principles as an efficiency-enhancing component of everyday research practice.

We offer

  • A central role at the interface between research, IT infrastructure, and research data management
  • The opportunity to contribute to scientific excellence through improved data quality, reproducibility, and reusability
  • Support for the strategic goals of the cluster in the areas of digitalisation and Open Science

 

This position will sustainably strengthen data-driven research within the Cluster of Excellence, reduce inefficiencies in data processing, and enhance international visibility through high-quality, FAIR-compliant datasets.

Tasks

1. Development of Scientific Data Workflows

  • Designing and implementing standardised, user-friendly workflows for data preparation
  • Identifying and reducing barriers to implementing Open Science and FAIR principles in day-to-day research
  • Automating processing pipelines from raw data to analysable and publication-ready datasets
  • Ensuring reproducibility (e.g. through version control and workflow management systems)

 

2. Consulting and Supporting Researchers

  • Providing individual guidance to researchers at all career stages on research data management (RDM), with a focus on tangible benefits such as time savings, reproducibility, and publication readiness
  • Supporting the structuring, documentation, and metadata creation of publication-ready datasets
  • Organising workshops, training sessions, and hands-on formats within the cluster
  • Building trusted working relationships with researchers as the foundation for sustainable collaboration

 

3. Implementation of FAIR Principles

  • Operationalising the FAIR principles (Findable, Accessible, Interoperable, Reusable) within specific research projects
  • Developing guidelines and best practices for the cluster
  • Supporting data publication, the selection of suitable repositories, and DOI assignment

 

4. Physics-Specific Integration

  • Applying subject-specific expertise in physics to the meaningful structuring and interpretation of complex datasets
  • Collaborating closely with experimental and theoretical research groups
  • Translating domain-specific requirements into technical data solutions

 

5. Collaboration and Networking

  • Establishing and maintaining active collaboration with all CCE sites, as well as initiatives such as NFDI consortia including FAIRmat
  • Coordinating with central service units (e.g. computing centres, libraries, RDM services)
  • Contributing to cross-cluster data strategies and standardisation initiatives

 

6. Development of Tools and Standards

  • Developing, adapting, and integrating tools for data validation, annotation, and publication
  • Contributing to the standardisation of data formats and metadata within the cluster context
  • Supporting the development of sustainable and scalable data infrastructures

Requirements

Professional Qualifications

  • Completed academic degree (Master’s degree/PhD) in Physics, Chemistry, Data Science, Computer Science, or a closely related discipline, each with demonstrable advanced expertise in physics (e.g. through a minor subject, specialisation, or thesis work in physics)
  • Solid knowledge of scientific data analysis and processing
  • Programming experience (e.g. Python) and familiarity with relevant libraries (NumPy, Pandas, SciPy, or similar)
  • Knowledge of research data management and an interest in Open Science / FAIR Data

 

Methodological Skills

  • Experience with reproducible research practices (e.g. Git)
  • Ability to quickly familiarise yourself with specific questions in physics research
  • Understanding of data-intensive processes in physics research and their methodological requirements
  • Experience handling scientific data from the natural sciences, ideally physics
  • Ability to model efficient and user-friendly workflows

 

Personal Skills

  • Excellent communication skills in interdisciplinary and international environments
  • Strong advisory skills and a service-oriented approach towards researchers
  • Structured, independent, and solution-oriented working style

Additional information

The University of Regensburg is committed to increasing the proportion of women in academia and therefore expressly encourages qualified women to apply. The University of Regensburg is particularly committed to supporting the compatibility of family life and career (further information available at the university website).

In cases of substantially equal qualifications, preference will be given to applicants with severe disabilities. Applicants are encouraged to indicate any severe disability in their application.

 

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Key Facts

Registration Number
NN
Start
As soon as possible
Scope
Full-time
Salary
E13
Contact Person

Prof. Dr. Jascha Repp
jascha.repp@ur.de

Application Deadline
30/06/2026
Job Offer from the Institution
NN