Associate Director, Data Engineer, DSCS Digital Technologies
Core
Design, build, and maintain the data foundation for data-driven modeling of sterile drug product development, capturing and curating experimental and process data for machine learning and statistical workflows.
Role type
Associate Director, Data Engineer (Biopharmaceutical Process Modeling)
Builds
Scalable data pipelines, feature-rich datasets, dashboards, and data exports for sterile drug substance and drug product manufacturing optimization.
Domain
Biopharmaceuticals / Sterile Drug Product Development / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, R, Data Pipeline Design, ETL/ELT, Data Modeling, Data Ingestion, SQL, Relational Databases, Graph Databases, Data Visualization, Regulatory Knowledge (ICH Q8-Q12)
Preferred skills
AWS (S3, Redshift, Glue, Athena, SageMaker), Databricks, Dataiku, ELN/LIMS/PAT systems, Biologics/Vaccines experience, Process Modeling context
Technologies
Python, R, Posit/RStudio, Jupyter, AWS, Databricks, Dataiku, Shiny, Streamlit, Spotfire, Dash, Power BI, Tableau, SQL, Graph Databases
Responsibilities
Design and implement robust data pipelines ingesting experimental and process data from SPD teams; Partner with experimentalists and scientists to define data requirements for modeling; Define and enforce data standards, metadata schemas, and ontologies; Automate data ingestion from laboratory instruments, ELNs, PAT systems, and manufacturing systems; Develop data analysis and visualization workflows; Influence digital data strategy to improve data capture and reduce friction.
Seniority
Senior, hands-on IC with leadership responsibilities
