Berliner Institut für Gesundheitsforschung
Research Fellow (f/m/d) Medical Informatics / Privacy and Data Protection
Berliner Institut für Gesundheitsforschung, New Bremen, Ohio, United States
We are looking for a research associate in computer science or medical informatics, to join the central data infrastructure project of a newly established Collaborative Research Center (CRC) on Circadian Medicine, a joint initiative between Charité – Universitätsmedizin Berlin and the University of Lübeck. The position is embedded in the research group "Health Data Privacy" at the Berlin Institute of Health, led by Prof. Dr.-Ing. Maija Poikela (https://www.bihealth.org/en/research/research-group/health-data-privacy), and includes close collaboration with medical informatics expert Prof. Fabian Prasser and systems biology expert Prof. Lisa Buchauer. This role is to ensure ethical data handling and privacy protection within the whole CRC. It involves providing ongoing support and training to researchers on data protection, developing and implementing privacy-preserving strategies for multimodal and longitudinal data, and contributes to methodological research in data privacy.
Your responsibilities
Investigating and evaluating privacy-preserving computational methods.
Contributing to publications and reports on privacy-enhancing technologies and their application to complex, multimodal, and longitudinal datasets.
Collaboration with data stewards, IT, legal, and ethics teams across institutions.
Contribute to the development and maintenance of consortium-wide data management plans.
Providing data protection expertise and training for CRC members.
Required
Master’s degree in computer science, medical informatics, or a related field
Good understanding of relevant data protection regulations and principles
Familiarity with privacy-preserving methods
Independent, structured, and detail-oriented working style
Strong communication skills for training and interdisciplinary collaboration
Fluency in English (written and oral)
Desirable
Experience in implementing GDPR compliance measures in research projects or infrastructures
Experience in providing training or documentation on data protection -related topics
Awareness of ethical and legal aspects of handling sensitive health data
Interest in human factors in privacy
Fluency in German
#J-18808-Ljbffr
Your responsibilities
Investigating and evaluating privacy-preserving computational methods.
Contributing to publications and reports on privacy-enhancing technologies and their application to complex, multimodal, and longitudinal datasets.
Collaboration with data stewards, IT, legal, and ethics teams across institutions.
Contribute to the development and maintenance of consortium-wide data management plans.
Providing data protection expertise and training for CRC members.
Required
Master’s degree in computer science, medical informatics, or a related field
Good understanding of relevant data protection regulations and principles
Familiarity with privacy-preserving methods
Independent, structured, and detail-oriented working style
Strong communication skills for training and interdisciplinary collaboration
Fluency in English (written and oral)
Desirable
Experience in implementing GDPR compliance measures in research projects or infrastructures
Experience in providing training or documentation on data protection -related topics
Awareness of ethical and legal aspects of handling sensitive health data
Interest in human factors in privacy
Fluency in German
#J-18808-Ljbffr