Über Uns
The Peter L. Reichertz Institute for Medical Informatics (PLRI), 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. The project “AI-LIGHTS - AI-assisted Long-read Genomics and Integrated OMICs for Healthcare Solution”, an interdisciplinary research consortium funded by the Volkswagen Foundation, aims at improving the diagnosis of rare diseases of critically ill children. We are looking for an enthusiastic PhD student who is interested in enhancing multi-omics data analysis by state-of-the-art artificial intelligence methods within AI-LIGHTS.
Deine Vorteile
- temporary part-time position with 28,88 h /week with one of the largest employers in Lower Saxony and an excellent university hospital for initially 3 years with a possibility for an extension
- support to pursue PhD studies including participation in dedicated PhD programs
- a salary according to TV-L salary group with the benefits of the public service (e.g., VBL)
- 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
Deine Aufgaben
- multivariate data analysis of large-scale patient cohorts including (multi)-omics data, particularly focusing on genomics, transcriptomics, proteomics and metabolomics data
- training and evaluation of high-dimensional machine learning models
- interpretation of machine learning models within biomedical context
- 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 the clinic, -omics wet labs, as well as the informatics department at the Leibniz University Hannover
Dein Profil
- master of science degree in data science / bioinformatics / computational biology / physics or similar research fields
- strong interest in the work with -omics and biomedical data, artificial intelligence/machine learning, and statistical programming languages like R or PYTHON
- proficiency in English (written and oral)
- desired: knowledge of the German language