Internship – Data Scientist
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Job Description
Data-Science-Praktikum/Masterarbeit bei Rewoso zur Entwicklung prädiktiver Modelle aus anonymisierten Patientendaten. Analyse, Validierung und Interpretation für digitale Gesundheits- und Versorgungsanwendungen.
Responsibilities:
- Preparation and analysis of anonymized patient data
- Exploratory data analysis and identification of relevant predictors
- Development and comparison of statistical and machine-learning models
- Feature engineering and selection of suitable model variables
- Training, evaluation, and optimization of predictive models
- Assessment of model performance, robustness, and generalizability
- Support in developing appropriate validation strategies
- Visualization and clear communication of results
- Interpretation of results in collaboration with the interdisciplinary team
- Support in translating scientific findings into practical digital health and healthcare applications
- Documentation of analyses and preparation of results for internal and external use
- Contribution to predicting disease trajectories, treatment needs, healthcare events, or other patient-relevant outcomes
- Collaboration on generating high-quality real-world evidence and developing innovative digital health solutions
Requirements:
- Currently pursuing a university or ETH degree in a technical or quantitatively oriented field, such as mathematics, statistics, biostatistics, or data science
- Excellent spoken and written German
- Strong foundation in mathematics and statistics
- Interest in data analysis and predictive modeling
- Programming skills, ideally in R
- Independent, structured, and meticulous working style
- Experience with medical data is a plus but not required
Benefits:
- Significant responsibility
- Hands-on experience
- Direct insight into the work of a small digital health start-up
- Work with real, fully anonymized patient data
- Close collaboration with an experienced, interdisciplinary team
- Exposure to the entire process, from data preparation and modeling through validation and interpretation
- Opportunity to complete a Master's thesis
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