AstraZeneca
Manufacturing Application Engineer – Digital Manufacturing & Automation, Cell Therapy
US – Tarzana – CA
Sponsorship not specified$127k-$191kDetected 1 day ago
JavaScriptPythonJavaC#CI/CDAPI DevelopmentMachine LearningAI OrchestrationA/B TestingDesign SystemsProduct ManagementProduct StrategySAPERPRoboticsElectrical EngineeringTest AutomationGMPCRISPRLeadershipCollaborationGxP
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odds of building a lasting career here
59Sponsors, lottery-bound
Cap-exempt (no lottery)0
Sponsors this role100
Entry-level history0
PERM / green-card track0
Lottery odds (Level III)83
Fits your clock70
Sponsors, but it's cap-subject — you still face the weighted lottery (~45% per draw at Level III). Good if you win; have a cap-exempt backup on your list.
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About the role
- Specify process flows, APIs, data exchange patterns, and event-driven architectures.
- Oversee development of reusable components, connectors, and low-code workflows that streamline operator execution, deviations, equipment monitoring, and process visibility.
Responsibilities
- Shape the digital engine of Cell Therapy manufacturing-apply your expertise today to own intelligent, compliant systems that scale globally and accelerate treatments to patients.
- 20-ago-2026 Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees.
- You will connect Manufacturing Operations, Automation Engineering, Digital, Quality, and Product teams to deliver scalable, compliant, and intelligent manufacturing ecosystems.
- Delivery Partner Governance & Product Ownership:
- Serve as the internal technical product owner across digital manufacturing workstreams; define what gets built and hold external delivery partners accountable to quality, compliance, and architectural standards.
- Review and challenge vendor technical designs, ensure AstraZeneca retains full knowledge and ownership of delivered solutions, and prevent dependency on any single integrator.
- Map and own the product roadmap from day one, gathering requirements from stakeholders and translating operational needs into a coherent, prioritized delivery plan.
- Own the delivery of custom-built LIMS applications and scalable digital manufacturing platforms across Cell Therapy operations.
- Ensure delivery partners build to specification and compliance standards.
- Validate vendor-delivered implementations against technical and compliance requirements.
Requirements
- Technical fluency in middleware (HighByte, OPC-UA), industrial connectivity, and file system management is required to credibly govern this work and identify when vendor approaches create unnecessary risk or dependency.
Skills
- Bachelor's degree in Computer Science, Engineering, Automation Engineering, Information Systems, Electrical Engineering, or related field
- 8+ years of experience in manufacturing systems, digital manufacturing, MES/LIMS implementation, or automation engineering
- Experience with MES/LIMS platforms in pharmaceutical, biotech, cell therapy, or regulated manufacturing
- Experience integrating manufacturing automation systems, robotics, environmental monitoring, and OT systems
- API development and integration
- Middleware platforms (HighByte, OPC-UA, MQTT)
- File system management (SMB, NFS) and scripting
- Database design and connectivity
- Event-driven architectures
- Experience with SAP manufacturing integrations
- Strong understanding of GxP, CFR Part 11, data integrity, and validation requirements
- Experience in Agile product delivery environments
Compensation
- The annual base pay for this position ranges from $127,352 to $191,028.
Benefits
- offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.
Equal opportunity
- If you have a disability or special need that requires accommodation, please complete the corresponding section in the application form.
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This listing is sourced directly from AstraZeneca's careers page and normalized into a canonical job model.