Associate Scientific Technical Engineer II, PDS&T CMC

What you'll do

• Design and implement scalable data ingestion pipelines from manufacturing systems like MES, LIMS, and ERP.
• Build connectors and integration layers to handle heterogeneous data formats and protocols in pharmaceutical environments.
• Develop harmonized data models and ontologies to ensure consistency across different manufacturing sites and modalities.
• Implement automated data quality controls, validation frameworks, and lineage documentation to meet GxP requirements.
• Architect and deliver versioned data products such as feature stores and vector-ready layers for AI/ML consumption.
• Write and maintain infrastructure-as-code, CI/CD pipelines, and automated testing frameworks for data systems.
• Provide operational support for production data pipelines to maintain uptime and data freshness commitments.

What we're looking for

• Bachelor's Degree in Computer Science, Data Engineering, Information Systems, Software Engineering, Bioinformatics, or a related technical field plus 2 years’ experience.
• Master’s Degree with 0 years' experience.
• Experience designing and building enterprise-grade data pipelines, integration workflows, and data products in complex, multi-source environments.
• Expert-level proficiency in Python for data engineering tasks, including pipeline development, transformation logic, and automation.
• Strong SQL skills across modern analytical and transactional databases, including ANSI SQL and platform-specific dialects.
• Experience with cloud data platforms (AWS, Azure, or GCP) and tools such as dbt, Spark, Airflow, Databricks, Snowflake, or equivalents.
• Experience developing ETL/ELT pipelines using tools such as Informatica, Talend, Apache NiFi, or cloud-native services.
• Experience in pharmaceutical, biotech, or regulated life sciences manufacturing environments (preferred).