Automation Data Analytics Engineer
Core
Design, deliver, and maintain data analytics solutions and automation systems for biologics production and monitoring.
Role type
Data Analytics Engineer (Manufacturing Automation)
Builds
Data analytics solutions, dashboards, and automation system configurations for biologics manufacturing.
Domain
Biopharmaceuticals / Cell Therapy / Manufacturing Automation
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
SQL, Python, Tableau, Power BI, cGMP, Manufacturing Execution Systems (MES), Data Historians, Process Automation Systems, Change Control, CAPA, SOP creation, Root Cause Analysis, Cross-functional collaboration
Preferred skills
Electronic Batch Records (EBR), Review by Exception (RBE), Cell culture, Cryopreservation, Purification, Aseptic processing, ERP/PCS integration, Automated System lifecycle management
Technologies
SQL, Azure AI, Python, Domino, Jupyter Notebook, Tableau, Power BI
Responsibilities
Create dashboards and visualizations to support operational decision-making; Translate business requirements into functional and design specifications compliant with cGMP; Support lifecycle management of automation systems and data analytics solutions; Lead execution of QMS deliverables including SOPs, Change Controls, and CAPAs; Provide technical direction to site teams to improve capacity, quality, and cost; Support process monitoring initiatives and resolution of production issues; Interface with cross-functional teams including Manufacturing, Quality, and Supply Chain.
Seniority
Mid-level, hands-on IC