Associate Scientific Technical Engineer II, PDS&T CMC

Role: Data Engineer specializing in AI-driven CMC and manufacturing data pipelines within biopharma, supporting AbbVie's biologics pipeline across clinical, commercial, and lifecycle stages. Responsibilities: design and implement scalable data ingestion pipelines from MES, LIMS, QMS, ERP, and instrument sources; develop semantic models and harmonize multi-site data; ensure data quality, lineage, and governance compliant with GxP and 21 CFR Part 11; build data products for AI/ML including feature stores and curated datasets; contribute to cloud data platform infrastructure and automation; collaborate with scientists, process engineers, and AI teams to accelerate product development and manufacturing decisions. Qualifications: Bachelor’s in Computer Science, Data Engineering, or related field plus 2 years’ experience or Master’s with no experience; expertise in Python, SQL, cloud platforms (AWS, Azure, GCP), and data tools such as Spark, Airflow, Databricks, Snowflake; experience with ETL/ELT, metadata management, APIs, and data modeling; ownership, problem-solving, and influence skills. Preferred: experience in regulated life sciences environments, familiarity with GxP, 21 CFR Part 11, manufacturing systems like MES and PI, and building data infrastructure for AI/ML. High-Value: biologics, pharmaceutical manufacturing, GxP compliance, clinical and commercial stages, data platform design for AI, cross-functional impact. Work setup: details not specified.