REC_Template 1 Job Details
REC_Template 1 Job Details | MHH Karriere We use cookies to offer you the best possible website experience. Your cookie preferences will be stored in your browser’s local storage. This includes cookies necessary for the website's operation. Additionally, you can freely decide and change any time whether you accept cookies or choose to opt out of cookies to improve website's performance, as well as cookies used to display content tailored to your interests. Your experience of the site and the services we are able to offer may be impacted if you do not accept all cookies. Modify Cookie Preferences Accept All Cookies Skip to main content Language Deutsch (Deutschland) English (United States) Profile Employee Login Language Deutsch (Deutschland) English (United States) Profile Employee Login Start View All Jobs Career Level About us FAQ Contact Language Deutsch (Deutschland) English (United States) Profile Employee Login Jeden Tag für das Leben Job Description Which AiM Form Template should be used?: DE_Standard Req Id: 1141 Fixed-term / Permanent: Temporary Degree of Employment: Fulltime / Parttime: Fulltime Tariff level: E13 Planned Start Date: 01.03.2027 Department: Peter L. Reichertz Institut für Medizinische Informatik Peter L. Reichertz Institut für Medizinische Informatik REC_Template 1 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 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 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 Ansprechperson Prof. Dr. Helena Zacharias +49 511 532 30880 Deadline for Application: 11/15/26 Werde Teil der MHH-Familie! Wir freuen uns auf Dich! Apply now Die MHH ist zertifizierte familiengerechte Hochschule und setzt sich für die Förderung von Frauen im Berufsleben ein. Bewerbungen von Frauen sind besonders erwünscht. Schwerbehinderte Bewerber:innen werden bei gleicher Qualifikation bevorzugt berücksichtigt.