Director, Process Data Science and Statistics lead
US – Santa Monica Colorado Avenue – CA, United States
USD 161K-241K Senior-level Full Time
Tasks
- Apply statistical frameworks for drug product quality
- Build dashboards for batch visibility and decision support
- Design and analyze DOE studies for process characterization
- Design and maintain process monitoring programs
- Develop and deploy AI ML predictive modeling and clustering
- Develop data pipelines for statistical analysis
- Drive manufacturing data digitization strategy
- Mentor scientists and engineers in statistical rigor and applied data science
- Own end to end statistical strategy for comparability assessments
- Support regulatory submission statistical analysis and CMC documentation
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Artificial Intelligence | Capability analysis | Clustering | Component analysis | Control charting | Dash | Data Digitization | Data Pipelines | Databricks | Design of Experiments | Equivalence Testing | Interactive dashboards | LLM | Machine Learning | Pandas | Plotly | Predictive Modeling | Process Capability | Process Capability Analysis | Python | Reproducible analysis | SQL | SciPy | Scikit-learn | Snowflake | Statistics | StatsModels | Streamlit | Tolerance Intervals | Variance component analysis | Version control
Education
Regions
Countries
States
Cities
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