Scientific Data Manager bei Klinikum der Universität München

We are looking for an enthusiastic, diligent and collaborative Scientific Data Manager to support transdisciplinary research within the DFG-funded excellence cluster for Systems Neurology and beyond by enabling seamless access to high-quality data.

• Assist a multi-disciplinary team of cluster scientists in obtaining, curating and distributing data, typically large-scale data sets (DNA-seq, single-cell RNA-seq, imaging etc.).
• Work with the SyNergy technology hubs, research, IT teams and external collaborators on setting up and maintaining the SyNergy-wide data ecosystem.
• Define meta-data and ontology terms suited to the multi-disciplinary datasets.
• Communicate with computational hubs such as the Leibniz Rechenzentrum and IT experts in SyNergy labs.
• Help SyNergy researchers to make their data findable, accessible, and interchangeable.
• Contribute to developing and pioneering novel methods of visualization and dissemination of research output.

• Bachelor’s or Master’s degree in a relevant discipline, e.g. computer science, life science
• Expertise in scripting/programming (especially Drupal and PHP)
• Expertise in data management
• Attention to detail, proactivity and capacity to understand needs/requirements of a multidisciplinary team
• Verbal and written English language fluency
• Experience with Cloud storage/HPC, version control and project management tools preferred
• Prior experience with biological data is a plus
• Basic knowledge of data protection laws

• The position advertised is embedded into the data management and bioinformatics team at the Institute for Stroke and Dementia Research (ISD).

• The position represents a unique opportunity to experience and contributes cutting-age research in a vibrant scientific community.

• Remuneration is based on the Collective Agreement for the Public Sector of the Länder (TV-L) including all allowances customary in the public sector.

+49 89 4400 46206