PostDoc (f/d/m) Project \"MALDIDive\"

Medizinische-Hochschule-Hannove; Hannover; Sur place; EUR 52 000 - 70 000; Temps partiel

Avantages offerts par ce poste

VBL benefits

PhD program support

Flexible working

Résumé du poste

Medizinische Hochschule Hannover invites applications for a PostDoc (f/d/m) in the MALDIDive project within the PLRI, the Peter L. Reichertz Institute for Medical Informatics in Hannover.

The role focuses on multivariate data analysis of large-scale cohorts, development of high-dimensional ML models, and interpretation of results in a biomedical context. Collaboration with clinical and informatics teams, with opportunities to pursue a PhD.

Qualifications

• Master of science degree in data science / bioinformatics / computational biology / physics or similar research fields.
• Strong interest in -omics data, AI/ML and statistical programming in R or Python.
• Proficiency in English (written and oral).
• Desired: knowledge of the German language.

Responsabilités

• Multivariate data analysis of large-scale patient cohorts including (multi)-omics data.
• Training and evaluation of high-dimensional machine learning models.
• Interpretation of machine learning models within biomedical context.
• Presentation of results to the scientific community via journals and international conferences.
• Close collaboration with interdisciplinary project partners from the clinic, -omics wet labs, and informatics department.

Connaissances

English proficiency

German language knowledge

Multivariate data analysis

Machine learning

Formation

Master of science in data science / bioinformatics / computational biology / physics

Outils

R

Python

Description du poste

PostDoc (f/d/m) Project "MALDIDive"

About Us

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.

Your Responsibilities

• 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

Your Profile

• 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

We offer

• 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

Your contact

[phone]

DeadlineforApplication: 11/15/26

Become part of the MHH family! We look forward to meeting you!

The MHH is a certified family-friendly university and is committed to promoting women in the workplace. Applications from women are particularly welcome. Applicants with severe disabilities will be given preferential consideration where qualifications are equal.