Associate Scientific Technical Engineer II, PDS&T CMC

About AbbVie

Role Overview

Data Ingestion and Integration

• Design scalable ingestion pipelines connecting CMC and manufacturing source systems to centralized and federated data environments.
• Build connectors, adapters, and integration layers for heterogeneous data formats, protocols, and latency profiles.
• Support batch and real-time streaming data patterns using appropriate architectures.

Data Modeling and Governance

• Develop harmonized data models and ontologies across sites, systems, and modalities.
• Map source fields, units, and identifiers to enterprise data standards and scientific meaning.
• Implement data quality controls, validation, anomaly detection, lineage documentation, metadata infrastructure, and observability.
• Support governance aligned with GxP requirements, 21 CFR Part 11, and AbbVie data standards.

AI and Platform Enablement

• Deliver governed, versioned, reusable data products for AI/ML, including feature stores, curated datasets, and vector-ready data layers.
• Partner with data scientists, ML engineers, and process modelers to translate model requirements into reliable infrastructure.
• Contribute to cloud data platforms, lakehouse architecture, data cataloging, access control, and compute infrastructure.
• Maintain infrastructure as code, CI/CD pipelines, automated testing, production uptime, and data freshness.

Required Qualifications

• A relevant bachelor's degree plus two years of experience, or a master's degree with zero years of experience, is required.
• Hands-on enterprise data pipeline, integration workflow, and data product experience is required.
• Expert Python and strong SQL skills are required.
• Cloud data platform, modern data stack, ETL/ELT, data modeling, API integration, and data governance experience are required.
• Ownership, solution architecture, scientific integrity, credible influence, and an impact-oriented approach are required.

Preferred Qualifications

• Pharmaceutical, biotech, or regulated life sciences manufacturing experience is preferred.
• GxP, 21 CFR Part 11, or regulated-industry data integrity familiarity is preferred.
• Manufacturing source system and AI/ML data infrastructure experience is preferred.

Compensation Information

• The posting references a compensation range and incentive eligibility but does not provide an amount or compensation cadence.