Automation Data Analytics Engineer
Core
Design, deliver, and maintain data analytics solutions and dashboards to support operational decision-making, quality investigations, and process monitoring for biologics cell therapy manufacturing.
Role type
Data Analytics Engineer (Manufacturing Automation)
Builds
Dashboards, visualizations, data analytics solutions, and technical reports for manufacturing operations.
Domain
Biopharmaceuticals / Cell Therapy / Manufacturing Automation
Deliverable
dashboards & analysis
Required skills
SQL, Python, Azure AI, Tableau, Power BI, Jupyter Notebook, Domino, Data Historians, Manufacturing Execution Systems (MES), Process Automation Systems, Data Historians, cGMP, Quality Management Systems (QMS), Electronic Batch Records (EBR), Root Cause Analysis, Change Control, CAPA, Continued Process Verification (CPV), Technical Transfer
Preferred skills
ERP, PCS, Review by Exception (RBE), MES Recipe object lifecycle management, Cell culture, Cryopreservation, PDA, ISPE standards
Technologies
SQL, Azure AI, Python, Domino, Jupyter Notebook, Tableau, Power BI, MES, PCS, ERP
Responsibilities
Create dashboards and visualizations to support operational and business decision-making; Provide technical direction to Site teams to improve capacity, quality, and cost; Support lifecycle management of Automation Systems and Data Analytics solutions; Lead execution of QMS deliverables including SOPs, Change Controls, and CAPAs; Support Manufacturing Systems incidents and quality event investigations; Interface with cross-functional teams including Manufacturing, Quality, and Supply Chain.
Seniority
Mid-level, hands-on IC