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# PhD Candidate for the Multidimensional OMICS Data Analysis research group

- **Company:** Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V.
- **Location:** Dortmund, Germany
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Data Analysis, Computer Programming, Machine Learning, Microsoft Office, Large Language Models, Information Technology
- **Published:** September 18, 2026
- **Apply:** https://www.xing.com/jobs/dortmund-phd-candidate-multidimensional-omics-data-analysis-research-group-153348300

## About the Role

* M.Sc. or Diploma in bioinformatics or a comparable qualification
 * Extensive programming experience
 * Practical experience in machine learning and the application of large language models
 * Knowledge of OMICS and image data analysis
 * A willingness to engage in interdisciplinary scientific work, the ability to work in a team, an open-minded attitude, and a commitment to the work are required
 * Strong communication skills, organisational talent and a solution-oriented approach
 * Proficiency in MS Office
 * Willingness to travel for work
 * Excellent written and spoken English; German would be an advantage

## Description

The Leibniz-Institut für Analytische Wissenschaften - ISAS - e. V. develops efficient analytical methods for health research. Thus, it contributes to the improvement of the prevention, early diagnosis, and therapy of diseases like cardiovascular diseases or cancer. Overall, the institute strives to advance precision medicine by combining knowledge from different fields such as biology, chemistry, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states.

In the department Bioanalytics for the Multidimensional OMICS Data Analysis research group, we invite applications for a:

PhD Candidate (m/f/d)

This position is part of the Leibniz Science Campus "Cardio-Oncology Campus for Precision Medicine", with focus on the analysis and development of biomarker profiles for the personalized assessment of cardiovascular risks associated with cancer therapy.

You will be responsible for:

 * Analysis of phenotypic, microscopic, PET/MRI, MALDI-MSI, and LC-MS/MS data
 * Development of AI-based models for personalized risk assessment
 * Validation and application of model performance using established biomarkers and patient cohorts
 * Evaluation, analysis, and visualization of data
 * Documentation of laboratory work
 * Collaboration with project partners and regular presentation of results


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