Associate Director, Data Engineer: DSCS Digital Data Strategy

Responsibilities

• Serve as domain owner for biologics data engineering (projects, sources, systems, and data flows).
• Inform DSCS Digital Data Strategy.
• Design and implement robust, scalable ETL/ELT data pipelines ingesting experimental/process data (process historians, chromatography, electronic lab notebooks, analytical instruments).
• Deliver analysis-ready datasets (process characterization models, data lineage, multivariate analytics, cross-site manufacturing connectivity).
• Define/enforce data standards, metadata schemas, and ontology mappings for interoperability.
• Align with automation teams to support new/modified automated workflows and new data streams.
• Own/govern system of record standards for consistent configuration and data entry.
• Catalog processes, analytical methods, instruments, and digital systems.
• Develop and maintain dashboards/reports for scientists across runs, molecules, scales, and sites.
• Mentor and guide supporting data engineers; influence domain strategy.
• Version pipeline code in Git Hub with standards for review, documentation, and deployment.
• Partner with process development, analytical scientists, and manufacturing teams on requirements.

• Ph.D. (3+ years relevant industrial/pharma experience) or M.S. (5+ years) or B.S. (7+ years) in relevant fields.

• Python and/or R;
  Jupyter/Posit/RStudio/VS Code.
• Strong SQL (relational DBs/data warehouses).
• ETL/ELT and pipeline experience in scientific/pharma context.
• Cloud familiarity (AWS/Azure/GCP).
• Understanding of process models, multivariate/statistical tools and dataset structuring.
• Experience with data standards/metadata/ontology mappings.
• Git/Git Hub; lead initiatives and mentor.

• Biologics process development experience (chromatography/filtration/purification/formulation) transitioning into data.
• Databricks/Delta Lake; visualization tools (Streamlit/Shiny/PowerBI/Spotfire/Tableau).
• Ontology frameworks (e.g., Allotrope, ISA-88, OPC-UA);
  DoE and CPP/CQA structuring; data lineage.

Salary range: $–$; eligible for annual bonus/long-term incentive (if applicable).

Comprehensive benefits incl. medical/dental/vision, retirement/401(k), paid holidays/vacation, and compassionate/sick days.

Apply via  (deadline listed on posting).