Job
- Level
- Experienced
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Location
- Tübingen
- Working Model
- Onsite
Job Summary
In this role, you will develop innovative analytical methods for clinical interpretation of omics data and conduct advanced AI analyses in interdisciplinary projects.
Job Technologies
Your role in the team
- 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.
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Our expectations of you
Education
- University degree (MSc) with very good grades in Data / Computer Science or related fields.
Qualifications
- Strong foundation in statistical analysis and data visualization, ideally relevant to genetics.
- Fluency in German and English.
- PhD in the corresponding area and publications in relevant journals/venues.
- Vertrautheit mit integrativen Omics-Analysen und agentischer KI.
- Solid knowledge of software engineering.
Experience
- Experience in applied data science and machine learning.
- Experience with at least one programming language, preferably Python.
- Experience in conducting, ideally managing, interdisciplinary projects and communication.
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What we offer
- Work in the diverse environment of a university hospital, which focuses not only on patient care but also on medical research and teaching.
- Secure employment in the public sector.
- Long-term prospects & planning reliability.
- Structured onboarding.
- In-house academy.
- Diverse training opportunities.
- Targeted career development.
- Clearly defined and predictable working hours (38.5 hours/week, full-time).
- 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.
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Universitätsklinikum Tübingen
The University Hospital of Tübingen, founded in 1805, is one of the leading centers of German university medicine and contributes to the successful network of high-performance medicine, research and teaching with its 17 university clinics, institutes and centers. Since January 1998, the University Hospital of Tübingen has been an autonomous institution under public law with a board and supervisory board.
Description
- Founding year
- 1805
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Healthcare, Social Sector
Clinical Data Scientist
- Location
- Tübingen
- Working Model
- Onsite
- Diversity
- Open for all genders
