Senior Principal Data Scientist
Tasks
- Apply statistical modeling to structured and unstructured data
- Build analytics dashboards
- Build and manage data pipelines
- Communicate analysis findings
- Create data visualizations
- Develop data science solutions for drug development decisions
- Develop new algorithms and statistical models
- Develop predictive machine learning models
- Execute exploratory analyses
- Interpret analytical results
- Perform data cleaning and wrangling
- Plan exploratory analyses
- Translate business questions to analytical problems
- Validate analytical results
Perks/Benefits
- Flexible working options
- Global recognition programs
- Hybrid working
- Insurance plans
- Paid parental leave
- Retirement plans
- Wellbeing resources
Skills/Tech-stack
Artificial Intelligence | Bash | Bayesian Methods | Clinical trials | Data Visualization | Deep learning | Design of Clinical Trials | Effects Modeling | Elastic Net | Event analysis | Lasso | Longitudinal Modeling | Machine Learning | Meta-Analysis | Mixed effects modeling | Mixed-effects | Pandas | Python | R | Random Forest | SQL | Series analysis | Statistical modeling | Time Series | Time Series Analysis | Time to Event | Time to event analysis | Variable Selection
Education
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