Scientific Technical Engineer - PDS&T CMC
Core
Design, build, and operate production-grade data pipelines and data products that power AI/ML, analytics, and automation across AbbVie's CMC and manufacturing ecosystem.
Role type
Senior IC Principal Data Engineer (Biopharma CMC)
Builds
Enterprise-scale data pipelines, feature stores, curated datasets, and vector-ready data layers for RAG/LLM applications
Domain
Biopharma / CMC (Chemistry, Manufacturing, and Controls) / Manufacturing Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, Cloud data platforms (AWS/Azure/GCP), ETL/ELT tools (dbt, Spark, Airflow, Databricks, Snowflake), Data Governance, API development (REST, GraphQL, OData), Infrastructure-as-code, CI/CD
Preferred skills
Technology transfer workflows, Process characterization study design, Commercial process validation (PPQ/PV), Regulated life sciences manufacturing environments, GxP data principles, 21 CFR Part 11 compliance
Technologies
Python, SQL, AWS, Azure, GCP, dbt, Spark, Airflow, Databricks, Snowflake, Informatica, Talend, Apache NiFi, AWS Glue, Azure Data Factory
Responsibilities
Design and implement scalable data ingestion pipelines connecting MES, historians, LIMS, QMS, ERP, and instrument data sources; Develop and maintain harmonized data models and ontologies for CMC and manufacturing data; Implement automated data quality controls, validation frameworks, and anomaly detection; Architect and deliver governed, versioned, reusable data products for AI/ML consumption; Contribute to the design and evolution of cloud-based data platform architecture and lakehouse structures
Seniority
Principal, hands-on IC