Data analyst for large international collaborative project on menopause and mental health
Tasks
- Apply causal inference methods
- Build regression models
- Conduct longitudinal statistical analyses
- Contribute to scientific manuscripts
- Develop and validate prediction models
- Document analytical methods systematically
- Ensure reproducible analytical workflows
- Implement target trial emulation
- Maintain version control and analytical pipelines
- Manage and harmonise large health datasets
- Perform time to event analyses
- Prepare cohort and register data
Perks/Benefits
Skills/Tech-stack
Biostatistics | Causal Inference | Data Analysis | Data Pipeline Development | Data harmonization | Data pipeline | Epidemiology | Longitudinal data | Longitudinal data analysis | Model Validation | Pipeline Development | Prediction modeling | Python | R | Regression Analysis | Series analysis | Statistical Analysis | Statistical programming | Survival analysis | Target trial emulation | Time Series | Time Series Analysis | Version control
Education
Roles
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