About Us

The Hannover Medical School (MHH), with about 10,000 employees the biggest company of Lower Saxony, is a university institution for research and teaching in the human and dental medicine and a university hospital of supra-maximum medical care. Research, teaching, medical care and administration work hand in hand in the integration model at the MHH-campus.

The Peter L. Reichertz Institute for Medical Informatics (PLRI) is one of the largest university centres for medical informatics in Germany. It belongs to two leading universities, is situated in one of Europe's most research-intensive regions, and offers excellent opportunities for research. In interdisciplinary projects, the PLRI collaborates with health centres, research institutes, corporations, and public institutions in order to shape the future of the health system and medicine. The activities range from diverse topics on the local level, to regional, national, and global collaborations.

The research group "Clinical Data Science” focuses on the detection of novel routine clinical and -omics biomarkers for disease diagnosis and prognosis to personalize and thus improve patient treatment. To achieve this, we integrate phenotypical information and routine clinical as well as (multi)-omics data by high-dimensional statistics and state-of-the-art artificial intelligence to gain novel insights into underlying disease pathomechanisms. Moreover, we are interested in developing and implementing research data platforms for complex (multi-)omics data. The project "MALDIDive: Enabling AI Research with Public MALDI-TOF Fingerprints across Microbial Diversity”, to be carried out within an interdisciplinary research team and funded by the German Research Foundation, will establish a well curated data platform of MALDI-TOF mass spectrometry datasets from the Leibniz Institute German Collection of Mircoorganisms and Cell Cultures GmbH (DSMZ). We are looking for an enthusiastic PostDoc who is interested in omics data platform development and deployment for future AI use.

Your Responsibilities

• data platform architecture, backend, and frontend development as well as deployment for MALDI-TOF mass spectrometry database/platform and associated metadata
• development of interactive data visualization concepts and their implementation into data platform
• development and realization of short explanatory videos for platform users
• co-organization and co-leading of stakeholder workshops to define user requirements and conduct user test cycles
• presentation to the scientific community, i.e., by publishing in high-level journals and via presentations at international conferences
• close collaboration with interdisciplinary project partners from AI / data science, analytical, and microbiological research communities, particularly the DSMZ
• bachelor / master student co-supervision

Your Profile

• PhD / Dr. rer. nat. / Dr.-Ing. degree in data science / bioinformatics / computational biology / informatics / physics or similar research fields
• expertise in the work on databases, interactive platform development, -omics and biomedical data, and / or artificial intelligence / machine learning
• proficiency in backend / frontend development and / or database programming, including one or more of the following programming languages: VueJS, TypeScript, SQL, PYTHON, R Shiny, nginx, Docker, etc.
• proficiency in English (written and oral)
• desired: experience with code documentary systems and RestAPI
• desired: knowledge of the German language

We offer

• a full-time position initially limited to two years with 38.5 hours per week at one of the largest employers in the state of Lower Saxony
• depending on your individual qualifications, a salary according to TV-L salary group E13 is possible, with the benefits associated with public sector employment (e.g. occupational pension scheme and supplementary insurance through VBL)
• an exciting role at the interface of research, healthcare and science management
• a supportive induction process within a motivated and interdisciplinary team
• support to pursue postdoctoral career (e.g., mentoring programs, etc.)
• working in a highly motivated and cooperative research team of scientists
• excellent perspectives for your scientific career development and networking
• individual training and further education opportunities
• a comprehensive company health management – because your health is important to us