Senior Engineer, Process Data Science and Statistics
Core
Develop and maintain analytical workflows for multivariate process monitoring, predictive modeling of batch outcomes, and anomaly detection on high-dimensional process data for cell therapy manufacturing.
Role type
Senior IC process data scientist and statistical engineer
Builds
Data systems, analytical platforms, AI-enabled tooling, and predictive models connecting process characterization to decision support
Domain
Biopharmaceuticals / Cell Therapy / Manufacturing
Deliverable
production ML models
Required skills
Multivariate statistical analysis, DOE design and analysis, Python (pandas, scipy, statsmodels, scikit-learn), SQL, predictive modeling, software development practices, technical documentation
Preferred skills
Cloud data systems (AWS, Snowflake, Databricks), interactive analytical applications (Streamlit, Dash), multivariate SPC methods (PCA/PLS, Hotelling T-squared), hybrid mechanistic and data-driven modeling, AI/ML for manufacturing, cell therapy experience
Technologies
Python, SQL, pandas, scipy, statsmodels, scikit-learn, plotly, Snowflake, Streamlit, AWS, Databricks
Responsibilities
Design and analyze DOE studies for process characterization; Develop and maintain statistical control charts and multivariate process control capabilities; Build predictive models linking incoming material attributes to batch outcomes; Develop and evaluate anomaly detection methods for high-dimensional process data; Build structured interactive reports and dashboards for batch visibility; Partner with IT to implement data pipelines and analytical platforms
Seniority
Senior, hands-on IC