Senior Scientific Data Manager (f/m/d)

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In the Department of Population Based Health Research, Bonn, we have a vacancy with the following responsibilities:

• Lead the strategic development and continuous optimization of data management processes for one of Germany’s largest population-based cohort studies
• Develop and continuously enhance structures, standards and quality assurance processes for the systematic documentation of study data, variables, and metadata, in close collaboration with researchers and in line with best practices
• Lead and coordinate complex data management projects  and manage the needed stakeholder communication
• Identify data-related challenges and translate them into practical, scalable solutions

• PhD or Master’s degree (or equivalent) in Epidemiology, Biostatistics, Data Science, or a related field
• Several years of experience in scientific data management of large scale human data, preferably in large population-based cohort studies or clinical research
• Strong understanding of current data protection requirements and governance principles
• Excellent management  and leadership skills
• Ability to work independently, prioritize strategically, and lead initiatives to completion
• Strong organizational skills and a structured, solution-oriented approach to work
• Advanced programming skills in R or Python, experience with relational databases (e.g., PostgreSQL)
• Strong communication and collaboration skills, including the ability to communicate effectively and professionally with public authorities and to work successfully in international, interdisciplinary teams.
• Excellent proficiency in written and spoken English and German

Your role in cutting edge research

Population-based health research is one of the DZNE’s key research areas, dedicated to investigating the causes and biomarkers of neurodegenerative diseases and supporting healthy aging. Most of our research is based on the Rhineland Study, a large-scale, deeply phenotyped population-based cohort study conducted in the Bonn area that will include up to 20,000 adults who are followed over their life course. Further information on the Rhineland Study can be found at the following link: www.rheinland-studie.de.

The Data Management and IT team of Population Health Sciences ensures reliable data flow and end-to-end data provenance, from data collection at the Rhineland Study examination centers to downstream analysis by researchers. In addition to integrating external systems, the current eight-member team develops core components of the data infrastructure in-house. We are looking for an experienced scientific data manager to join this team as a senior member.

We envision the position as bridging research, data management and IT, to ensure data integrity and support the accurate documentation and scientific contextualization of data and metadata. To that end, the ideal candidate combines scientific data expertise, epidemiological knowledge, data management experience, and communication skills, and will play a key role in shaping data integrity as well as the data management infrastructure. This includes the further development of a comprehensive data dictionary and harmonized data models, establishing robust governance frameworks and scalable data workflows, and securing a high-quality, privacy-preserving data infrastructure.

• Innovation und Internationalität:

  Durch zukunftsweisende Infrastruktur, moderne Labor- und Büroausstattung, Softwaretools und die Chance zum internationalen Austausch mit Menschen aus 65 Nationen

• Arbeitsumgebung zum Wohlfühlen:

  Unsere Bonner Mitarbeitenden erfreuen sich über einen Campus mitten im Grünen, mit Parkmöglichkeiten und ÖPNV-Anbindung vor Ort sowie einem attraktiven Kantinenangebot

• Vergütung und Konditionen nach TVöD-Bund:

  Inklusive Jahressonderzahlung, Vermögenswirksame Leistungen und VBL Zusatzversorgung

• Familienbewusste Unternehmenskultur:

  Weil wir wissen, dass Familie wichtig ist, unterstützen wir mit unserem Familienservice

• Entwicklung im Fokus:

  Individuell auf Sie abgestimmte Fortbildungsangebote und jährliche Personalentwicklungsgespräche für konkrete Perspektiven und Potenzialentfaltung

• Arbeitsplatz mit Perspektive / Entfristung:

  Die zunächst befristete Position bietet die Chance in eine unbefristete Festanstellung überzugehen