Postdoctoral researcher in AI-driven Workflows in Synthetic Biology and Biotechnology; F​/M​/D

A focus of our research are Engineered Living Materials (ELMs), an emergent class of materials at the interface between materials science and synthetic biology, with huge potential for sustainable innovation in different technological fields. The multidisciplinary component of our research requires intensive information and data exchange between multiple disciplines. We work on semantically structured data and interfaces, shared workflows, and contribute to engaging the growing ELM community in digitalized research.

To coordinate and support the digitalization of the ELM community, we are seeking a Postdoctoral Researcher with expertise in Digitalization and Data Science (f,m,d) to work within the collaborative network Material Vital Hub, recently funded by the Federal Ministry of Research, Technology and Space (BMFTR) in collaboration with the Galaxy Community Hub. The candidate will be part of a team and work together with experimental scientists and research data management experts at INM-Leibniz Institute for New Materials and with Bioinformaticians at the University of Freiburg.

• Contribute to the digitalization of synthetic biology data workflows within selected ELM use cases by developing code to create semantic annotated data structures.
• Development of metadata schemas for typical synthetic biology steps and methodologies in ELM research which are transferable to electronic Lab Books and data platforms of relevance for other researchers within the Material Vital Hub.
• Lead the development of ELM-dedicated ontology for interoperability within the Material Vital Hub in cooperation with researchers and the Galaxy Community Hub and Material Digital Platform partners.
• Demonstrate application cases of Data Science to ELM research based on structured data from the Material Vital Hub.
• Support and promote digitalization of the ELM community within the Material Vital Hub in close interaction with Galaxi Community Hub and Material Digital Platform and NFDI.
• Attend workshops and disseminate your work within the ELM community by presenting at conferences and scientific events.
• Document your work and report to project coordinators and stakeholders.

• PhD degree in bioinformatics, systems biology, synthetic biology, biotechnology or related disciplines. Knowledge in automated workflows for (large) data analysis, using Galaxy or similar tools.
• Experience in the automated analysis of omics and/or imaging data.
• Interest in working with and for the digitalization of the ELM community.
• Self-driven and hands-on personality. Organization and prioritization skills.
• Very good communication skills in English.

• An emergent hot research topic with multiple opportunities to contribute and interact with the growing community and contribute to its development at an early stage.
• Direct access to and high visibility in the Syn Bio and ELM networks at national and international level.
• An existing team with expertise and drive to move forward digitalization in ELM research. A well-structured on-boarding process and clear responsibilities.
• A community-oriented, multifaceted work with great scope for creativity.
• A highly professional and supportive working environment with an open and international culture.
• Strong support of training and career development towards an outstanding profile as data scientist in synthetic biology research.
• Flexible working hours and mobile working opportunity.
• A family-friendly working place.
• A EG 13 TV-L position (full time). A part time position is also possible.

The position is initially for 3 years.

We look forward to your application!

Please upload your CV and motivation letter, by February 15th 2026 via the online application system. For further information on this position, please contact INM Scientific Director Prof. Dr. Aránzazu del Campo (aran).

The INM practices an open and appreciative corporate culture in which the existing diversity is promoted and lived. The institute is an equal opportunity employer with a certified family-friendly policy, and it provides offers for a better work-life balance, flextime, and mobile working. We promote professional opportunities for women and strongly encourage them to apply. Full time jobs can be generally divided.

Severely disabled applicants with equal qualifications and aptitude will be given preferential consideration.