Scientific Technical Engineer - PDS&T CMC

📋 Description

• Design and operate production-grade data pipelines and data products powering AI/ML analytics
• Integrate data from MES, historians, LIMS, QMS, ERP, and instrument platforms into
• Develop scalable ingestion pipelines for batch and real-time data, with connectors for diverse data
• Harmonize data models and ontologies to ensure consistency across sites and modalities.
• Establish data quality, lineage, and governance with observability and compliance to GxP/21 CFR
• Create governed data products (feature stores, curated datasets, vector-ready layers) for AI/ML and

🎯 Requirements

• Bachelor’s Degree in CS/Data Eng/Software Eng/Bioinformatics or related field plus 6 years’
• Hands-on experience designing enterprise-grade data pipelines and data products in multi-source
• Expert-level Python for data engineering tasks.
• Strong SQL across modern databases; ANSI SQL and dialects.
• Experience with cloud data platforms (AWS/Azure/GCP) and data stack tools like dbt, Spark, Airflow
• ETL/ELT pipelines with Informatica, Talend, NiFi, or cloud-native services (e.g., AWS Glue, Azure

🎁 Benefits

• Comprehensive benefits package including paid time off, medical/dental/vision, and 401(k).
• Eligibility for short-term incentive programs.
• Equal opportunity employer; inclusive environment and opportunities for growth.