Job
- Level
- Experienced
- Job Field
- Data
- Employment Type
- Part Time
- Contract Type
- Temporary employment
- Location
- Tübingen
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you assist clinical research teams with the statistical planning and analysis of studies in child and adolescent psychiatry, utilizing R, Python, and SPSS to analyze longitudinal data.
Job Technologies
Your role in the team
- They work within clinical-scientific project teams and contribute to generating and advancing evidence-based insights in the field of child and adolescent psychiatry.
- Statistical consulting for scientists in the planning, execution, and analysis of studies.
- Data management and statistical analyses using common software (particularly R, Python, and SPSS), including complex longitudinal and EMA data.
- Development and application of appropriate statistical models to address clinical-scientific questions.
- Participation in interdisciplinary research projects as well as the interpretation, preparation, and documentation of results, taking quality assurance into account.
- Support with scientific publications, particularly regarding statistical methodology, presentation of results, and reproducibility.
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Our expectations of you
Education
- Completed academic university degree (Master's or equivalent) in fields such as statistics, data science, mathematics, computer science, psychology, or a related field.
Qualifications
- Interest in clinical-psychological or psychiatric research.
- Independent, structured way of working and enjoyment of interdisciplinary collaboration.
Experience
- Very good knowledge in statistical data analysis as well as experience with common programming languages (R and SPSS) and the analysis of longitudinal data (e.g., multilevel analyses).
- Experience in contributing to scientific publications is desirable.
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What we offer
- There is an opportunity for further academic qualification as well as the possibility of remote work with flexible working hours (by arrangement).
- Innovative university hospital.
- Cutting-edge technology.
- International cutting-edge research.
- Excellent prospects.
- Structured onboarding.
- In-house Academy.
- Diverse training opportunities.
- Targeted career development.
- Collective agreement & regular tariff increases.
- Company pension scheme (VBL).
- Annual special payments (TV UK, TV-L).
- Attractive public transport subsidy & employee discounts.
- Flexible working time models.
- Mobile working options.
- Company daycare center.
- Long-term account & Service days (TV UK).
- Occupational Medical Service.
- Discounts on fitness offers.
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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
Data Scientist
- Location
- Tübingen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
