Digital Automation Engineer, Cell Therapy

AstraZeneca•Los Angeles, CA

About The Position

The Digital Automation Engineer supports the design, development, and integration of digital manufacturing and automation solutions for Cell Therapy operations, under the guidance of senior engineers and technical leads. This early-career role provides hands-on experience in software development, artificial intelligence applications, robotics integration, and manufacturing application development in a regulated, GMP manufacturing environment. The engineer develops and maintains software and digital workflows, supports AI/ML projects and robotics integrations, and contributes to the operation and improvement of manufacturing systems. The role works with Manufacturing Operations, Automation Engineering, Quality, and Digital IT teams, while building technical and Cell Therapy expertise through mentorship and ongoing learning.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Automation/Mechatronics Engineering, Information Systems, or a related field, or equivalent practical experience.
  • At least 2 years of software development experience through internships, co-ops, academic projects, or professional roles.
  • Foundational programming skills in one or more languages such as Python, Java, JavaScript, or C#.
  • Basic understanding of AI/machine learning concepts gained through coursework, projects, or self-study.
  • Exposure to robotics, automation, or embedded systems through coursework, internships, or personal projects.
  • Familiarity with application development fundamentals, including APIs, databases, and version control such as Git.
  • Strong problem-solving skills and eagerness to learn in a regulated manufacturing environment.
  • Effective written and verbal communication skills.

Nice To Haves

  • Academic, internship, or personal project experience applying AI/ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
  • Exposure to robotics platforms, PLCs, or industrial automation equipment.
  • Familiarity with low-code manufacturing platforms such as Tulip or manufacturing execution systems (MES/LIMS).
  • Interest or coursework in Cell Therapy, biologics, pharmaceutical, or regulated (GxP) manufacturing environments.
  • Exposure to cloud platforms such as AWS, Azure, or GCP and CI/CD pipelines.
  • Knowledge of industrial connectivity protocols such as OPC-UA and MQTT.
  • Familiarity with Agile development practices.

Responsibilities

  • Develop, test, and maintain software applications and scripts for manufacturing execution, automation, and digital workflows under senior engineers’ guidance.
  • Write clean, well-documented code and participate in code reviews, unit testing, and debugging.
  • Support low-code/no-code manufacturing applications, such as Tulip, for shop floor execution and operator workflows.
  • Assist with building and testing APIs and integrations between manufacturing systems.
  • Support development, training, and testing of AI/ML models for manufacturing applications, including predictive maintenance, anomaly detection, and process optimization.
  • Assist with data collection, cleaning, and preparation for AI/ML projects, and contribute to proof-of-concept projects exploring AI-driven manufacturing intelligence.
  • Assist with integration of robotics platforms, automation equipment, and OT systems with digital manufacturing platforms.
  • Support configuration and testing of middleware and industrial connectivity protocols such as OPC-UA and MQTT.
  • Participate in troubleshooting automation and robotics interfaces under supervision, and document integration processes, equipment telemetry, and automation workflows.
  • Support daily operation and continuous improvement of MES, LIMS, and manufacturing orchestration platforms.
  • Assist with testing, validation, and deployment of digital manufacturing applications; troubleshoot application issues and escalate complex problems.
  • Contribute to documentation of system configurations and standard operating procedures.
  • Collaborate with Manufacturing Operations, Automation Engineering, Quality, and Digital IT teams on assigned projects.
  • Participate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives.
  • Seek mentorship and pursue ongoing learning in GxP compliance, Cell Therapy manufacturing, and Industry 4.0 technologies.

Benefits

  • Eligibility for short-term incentive bonuses.
  • Equity-based awards for salaried roles.
  • Qualified retirement programs.
  • Paid time off, including vacation, holidays, and leaves.
  • Health coverage.
  • Dental coverage.
  • Vision coverage.
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