Research data manager (f/m/x)

Helmholtz Zentrum München; Leipzig; Hybrid; EUR 50.000 - 70.000; Vollzeit

Zusammenfassung

A leading research center in Leipzig is seeking a Research Data Manager to oversee clinical study data management and support researchers in data practices. The ideal candidate has experience with large cohort studies and data privacy regulations. A university degree in life sciences or a related field is required. This position offers an opportunity to contribute to groundbreaking research in a flexible work environment.

Leistungen

Career Development

30 days annual leave

Support with relocation and integration process

Health Promotion initiatives

Qualifikationen

• Proven experience in large cohort studies with omics data.
• Understanding of Good Clinical Practice, GDPR, and data privacy requirements.
• High commitment to ethical conduct in handling sensitive patient data.

Aufgaben

• Develop and implement research data management plans.
• Manage databases for ongoing clinical studies using REDCap.
• Oversee the full data lifecycle.

Kenntnisse

Proven experience in managing clinical or epidemiological study data

Strong understanding of clinical research regulations

Excellent communication skills

Independent and meticulous working style

Excellent German and English language skills

Ausbildung

University degree in life sciences or related field

Advanced degrees (MSc + MPH or PhD) desirable

Tools

REDCap

R programming basic skills

Jobbeschreibung

Research data manager (f/m/x)

Full time (39 hrs./week). Location: Leipzig. Partial Home Office possible.

At Helmholtz Munich, we develop groundbreaking solutions for a healthier society in a rapidly changing world. We believe that diverse perspectives drive innovation. Through strong partnerships, we accelerate the transfer of new ideas from the lab to real‑life applications, improving lives.

As one of the world’s leading research centers, Helmholtz Munich provides a stimulating international environment for excellent research. The Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI‑MAG) at the University of Leipzig, Germany is part of Helmholtz Munich and aims to uncover the molecular and clinical underpinnings of metabolic, obesity and vascular disorders to enable precision therapies. Together with renowned scientists and supported by state‑of‑the‑art infrastructure, you will have the opportunity to make important contributions toward scientific knowledge and the improvement of people’s quality of life.

The HI‑MAG research group Childhood Obesity and Metabolic Research, led by Antje Körner, investigates the development, mechanisms and health consequences of childhood obesity. Using a translational approach, experimental research, clinical studies and genetic approaches are combined. Our international and interdisciplinary team is closely integrated with the research structures of the Medical Faculty of the University of Leipzig, Helmholtz Munich, and leading national research consortia such as the Excellence cluster LeiCeM, the German Center for Child and Youth Health (DZKJ) and our large children’s and adolescent cohort LIFE Child.

We have large, well‑characterized cohorts up and running with a longitudinal setting and across the entire age range: LIFE Child (n~5900), Leipzig Obesity Childhood Cohort (n~3000), and Leipzig Adipose Tissue Childhood cohort (n~700), with deep phenotyping allowing for combining clinical, epidemiological, lifestyle and functional omics data.

We are currently seeking a research data manager (f/m/x) to join our team at the earliest possible opportunity.

Your tasks

• Further development and implementation of research data management plans in the working group Childhood Obesity & Metabolic Research based on current regulations and best practices.
• Conceptualisation, management and maintenance of databases for ongoing clinical studies using REDcap.
• Oversee the full data lifecycle: from collection, validation, curation, anonymisation/pseudonymisation and storage, to controlled access, sharing, archiving, and secure deletion, with adherence to the FAIR (Findable, Accessible, Interoperable, Reusable) data principles.
• Advising and supporting researchers regarding data management best practice.
• Participation in the development of research proposals and scientific projects on data management.
• Collaboration with relevant internal and external interfaces (e.g. DZKJ).
• Active participation in scientific projects and in publishing.

Your profile

• University degree in life sciences, data science, health informatics, epidemiology, biostatistics, or a related field. Advanced degrees (e.g., MSc + MPH or PhD) are desirable.
• Proven experience in managing clinical or epidemiological study data, preferably including large cohort studies with omics data. Familiarity with electronic data capture systems such as REDcap is expected.
• Strong understanding of clinical research regulations and data privacy requirements including Good Clinical Practice, GDPR and other relevant frameworks governing clinical data in Germany.
• High level of commitment to ethical conduct in handling sensitive patient data.
• Excellent communication skills to collaborate effectively with researchers, clinician scientists, students and other members of the group.
• Independent and meticulous working style, as well as excellent team skills.
• Excellent German and English language skills in writing and speaking.
• Desirable: R programming basic skills.

If you fulfill all the requirements, you may be eligible for a salary grade of up to E 13. Social benefits are based on the Collective Wage Agreement for Public‑Sector Employees (TVöD). The position has an (initial) fixed term of 2 years but may be extended under certain circumstances.

We believe that diversity is the key to groundbreaking research and innovative solutions. Our flexible working models and remote options create a supportive environment for balancing work and family life. For us, contributing to a healthier society in such an inspiring workplace is truly meaningful.

Benefits

• Career Development: Postdoc program, scientific training & career centre with tailored offers
• Scientific Resources: State‑of‑the‑art infrastructure and Core Facilities
• Recreation: 30 days annual leave, flexi days, plus public holidays
• International Staff Service: Support with relocation and integration process in Germany
• Health Promotion: Sports, company doctor, mental health initiatives

Interested in applying?

If you have any questions, feel free to contact Katja Piotrowski, [e-mail], who will be happy to help.

Our recruiting is decentralized – your application will be reviewed directly by the specialist department in which you could work in the future.

Please send your application only via our online application tool and with the following documents:

• CV
• Cover letter
• Degrees/Diplomas/Certificates
• Contact details for at least two referees

We are committed to promoting a culture of diversity and welcome applications from talented people regardless of gender, cultural background, nationality, ethnicity, sexual identity, physical abilities, religion or age. Qualified applicants with physical disabilities will be given preference.

Helmholtz Munich
Deutsches Forschungszentrum für Gesundheit und Umwelt (GmbH)
Helmholtz Institute for Metabolic, Obesity and Vascular Research
Philipp‑Rosenthal‑Straße 27
04103 Leipzig