Karriere
am Klinikum & Medizinischer Fakultät
Clinical Data Scientist (f/m/d)
Institute of Medical Genetics and Applied Genomics, index number 7709
Full-time: 100 %
Limited: 2 years 1
Start of work:
as soon as possible
Application deadline: 11.08.2026
TV-L
i.d.R. E13 2
- Develop and implement innovative methods and analytical strategies for the clinical interpretation of (gen)omics data
- Interact closely with data analysts, bioinformaticians and clinicians to perform advanced AI-driven analyses
- Engage actively in interdisciplinary group meetings to identify needs and explore opportunities for applying AI techniques
- Support scientific software engineering, including the development of application interfaces
- Participate in research projects, write publications and deliver presentations
- Support advanced domain-specific AI training for data analysts and clinicians of the institute
Minimum Qualifications
- University degree (MSc) with very good grades in Data / Computer Science or related fields
- Experience in applied data science and machine learning
- Strong foundation in statistical analysis and data visualization, ideally relevant to genetics
- Experience with at least one programming language, preferably Python
- Fluency in German and English
Preferred Qualifications
- PhD in the corresponding area and publications in relevant journals/venues
- Familiarity with integrative omics analyses and agentic AI
- Solid knowledge of software engineering
- Experience in conducting, ideally managing, interdisciplinary projects and communication
Job Security
- secure employment in the public sector
- long-term prospects & planning reliability
Career & Development
- structured onboarding
- in-house academy
- diverse training opportunities
- targeted career development
Work-Life-Balance
- Clearly defined and predictable working hours (38.5 hours/week, full-time)
- family-friendly working conditions
- long-term account & company seniority days (TV UK)
Health & Well-being
- occupational health service
- sports groups
- preventive health courses
- discounts on fitness offers
Attractive Compensation
- collective agreement & regular wage increases
- company pension scheme (VBL)
- annual special payments (TV UK, TV L)
- attractive public transport subsidy & employee discounts
- secure employment in the public sector
- long-term prospects & planning reliability
- structured onboarding
- in-house academy
- diverse training opportunities
- targeted career development
- flexible working time models
- mobile working options
- family-friendly working conditions
- long-term account & company seniority days (TV UK)
- occupational health service
- sports groups
- preventive health courses
- discounts on fitness offers
- collective agreement & regular wage increases
- company pension scheme (VBL)
- annual special payments (TV UK, TV L)
- attractive public transport subsidy & employee discounts
Our interdisciplinary diagnostics and research team at the Institute of Medical Genetics and Applied Genomics applies state-of-the-art genomics methods to research the molecular mechanisms of genetic diseases. As part of national and international networks, we are establishing new concepts for improved diagnostics and therapies for rare and oncological diseases. In addition to the latest technologies (e.g. long-read genome sequencing), we use integrative analyses of omics datasets for the comprehensive characterisation and improved clinical interpretation of genomic alterations. The close integration of clinic and research ensures the rapid translation of the latest scientific findings, technologies and methods into routine diagnostics. Our aim is to make these benefits available to all our patients and thus support the development of personalised therapies and preventive measures.
Index number: 7709
Including CV and cover letter
Application deadline: 11.08.2026
1 Continued employment will be sought whereever possible.
2 The data provided does not constitute a basis for an employment contract at the University Hospital of Tübingen. It is intended to serve as a rough guide for all interested parties. Remuneration is governed by the applicable collective bargaining agreements in conjunction with the corresponding pay scales. Further information can be found here.
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