Bioinformatician (gn) - Unsolicited Application at the Institute of Medical Informatics

Job Id:  11217

Limited to 3 years | Full-time, 38.5 hours per week | Salary according to TV-L E13 | Institute of Medical Informatics

 

Your research. Your future.

 

Do you want to use modern machine learning methods to better understand diseases and shape the medicine of tomorrow? Then join us!
We are looking for motivated researchers to strengthen our team as soon as possible. You will contribute to exciting research projects at the intersection of medicine, computer science, and the life sciences.

 

Your responsibilities:

  • Conduct research in the field of machine learning and data-driven modeling to address biomedical questions of high clinical relevance
  • Develop innovative methods, e.g., for predicting antibiotic resistance in pathogens or modeling complex disease processes
  • Contribute to the design of novel algorithms for the analysis of large-scale omics datasets
  • Actively participate in interdisciplinary research projects

 

Your profile:

  • Master’s degree in Computer Science, Bioinformatics, Medical Informatics, Computational Biology, or a related discipline
  • Knowledge of machine learning, statistics, and algorithm development
  • Initial experience in the analysis of biological data (e.g., omics technologies) is desirable
  • Programming skills (e.g., Python, R, C/C++)
  • Excellent command of English

 

We offer:

  • An international team with genuine team spirit
  • State-of-the-art computing infrastructure
  • Room for your own ideas
  • The opportunity to pursue a PhD or habilitation

 

For more information about us: Website
For questions, please contact: Dr. Alexandra Meidt, Science Management, T +49 251 83-55262

 

Apply now via our career site and take your research to where it can truly change lives!

Benefits Komponente
BENEFITS:
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Exciting projects
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Further education and training
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Interdisciplinary collaboration
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Be part of the research innovation
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Even more benefits

(*gn=gender neutral)

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Equal opportunities are a part of our Human Resources Policy. UKM supports the compatibility of work and family life and is certified as "Family-friendly Company" since 2010. Applications of women are specifically invited. In the case of similar qualifications, competence, and specific achievements, women will be considered on preferential terms within the framework of the legal possibilities. Handicapped candidates with equivalent qualifications will be given preference. Due to legal requirements working with us is only permitted with complete vaccination against measles.

Kontaktinformation
Universitätsklinikum Münster
Albert-Schweitzer-Campus 1 | 48149 Münster | www.ukm.de