Digital Automation Engineer, Cell Therapy
About The Position
The Digital Automation Engineer supports the design, development, and integration of digital manufacturing and automation solutions for Cell Therapy operations, working under the guidance of senior engineers and technical leads. This early-career role provides hands-on experience in software development, AI applications, robotics integration, and manufacturing application development in a regulated, GMP manufacturing environment. The role applies programming, AI, robotics, and software engineering to practical manufacturing challenges. The engineer develops and maintains software and manufacturing applications, assists with AI/ML projects and robotics and automation integrations, and supports manufacturing systems such as MES, LIMS, and manufacturing orchestration platforms. The role collaborates with Manufacturing Operations, Automation Engineering, Quality, and Digital IT teams, while developing technical and Cell Therapy domain 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 1 year 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 such as 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 or MQTT.
- Familiarity with Agile development practices.
Responsibilities
- Develop, test, and maintain software applications and scripts for manufacturing execution, automation, and digital workflows under senior engineering guidance.
- Write clean, well-documented code and participate in code reviews, unit testing, and debugging.
- Support development of low-code/no-code manufacturing applications for shop-floor execution and operator workflows.
- Assist with building and testing APIs and integrations between manufacturing systems.
- Support the development, training, and testing of AI/ML models for manufacturing use cases, and assist with data collection, cleaning, and preparation.
- Contribute to proof-of-concept projects exploring AI-driven manufacturing intelligence.
- Assist with integrating robotics platforms, automation equipment, and OT systems with digital manufacturing platforms.
- Support configuration and testing of middleware and industrial connectivity protocols, and participate in supervised troubleshooting of automation and robotics interfaces.
- Document integration processes, equipment telemetry, and automation workflows.
- Support day-to-day 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.
- Document system configurations and standard operating procedures.
- Partner 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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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
