Data Scientist / Bioinformatician (m/f/d)

Data Scientist / Bioinformatician (m/f/d)

Full-time | fixed-term contract | a competitive salary (TV-L) | Biocenter at University of Wuerzburg

The Collaborative Research Centre 387 (SFB/CRC 387) is an interdisciplinary research network focused on finding new approaches for tumor treatment through a better understanding of the ubiquitin system. SFB/CRC 387 will start on 1 October 2024 and will be funded for four years (with the option to extend for a further eight years) by the German Research Foundation (DFG). The SFB/CRC brings together 38 PIs at seven research sites across Germany. At all participating locations, the SFB/CRC 387 teams are well embedded in an outstanding scientific environment, with access to state-of-the-art technologies, well-equipped laboratories, a lively scientific exchange and an internationally competitive scientific training program.

The CRC will employ three data scientists to support the research groups in the analysis and management of research data. The research projects within the CRC combine data-rich methods to generate proteomic, genomic, chemical as well as imaging data from pathology and high-end microscopy. The three data scientists will jointly develop a CRC-specific research data management policy and will manage, organize and provide support and training to all CRC researchers to ensure open and FAIR access to data.

The data scientist located at the Biocentre at University of Wuerzburg will be part of the Imaging Core Facility and the Chair of Biochemistry and Molecular Biology (Head: Martin Eilers) and will focus on the computational analysis of high content microscopy data. They will

• Interact with the other data scientists in the CRC to set up an overarching structure that enables the consortium to document, share, and integrate data
• Interact with biochemists and biologists at the Biocenter to collect, document and analyze high-throughput microscopy data
• Improve the existing image analysis pipeline for subcellular structures in single cells
• Implement further data analysis pipelines
• Build and maintain a fit-for purpose IT infrastructure
• Support open data initiatives whilst ensuring the protection of personal data
• Collaborate closely with the Center for Computational and Theoretical Biology (https://www.biozentrum.uni-wuerzburg.de/cctb/)

CRC 387 offers

• Exceptionally positive scientific culture that provides strong mentorship with a proven track record of early independence and success
• Graduate training programs and postdoc networks at each site
• Travel funds to visit conferences, laboratories and workshops
• Postdoc program with start-up funding for own projects
• Family-friendly organization of work.

Your profile

• PhD in Bioinformatics, Computational Biology, Biophysics or a related discipline
• Interest in and experience with research data
• High IT affinity, experience in working with research software
• Very good programming skills
• Preferably experience with image analysis
• Experience with machine learning approaches would be beneficial
• A high level of self-motivation
• Very good English skills (written and spoken)
• High motivation to work in international and collaborative teams

We welcome applications from suitably qualified people regardless of race, gender or disability. The University aims to increase the proportion of female employees, therefore applications from qualified women are particularly welcome. Preference will be given to people with disabilities in the case of otherwise equal aptitude.

Applications must contain a CV, a one-page letter of motivation, relevant degree certificates and academic transcripts as well as contact details of two references.

Please send the documents as a single PDF file via email to:

Prof. Dr. Martin Eilers

Attn. Monika Reichert

E-mail: bz-molbio@uni-wuerzburg.de

Application deadline: 01.11.2024