{"id":3179208,"url":"https://alion.io/job/astrazeneca-digital-automation-engineer-cell-therapy","title":"Digital Automation Engineer, Cell Therapy","company":{"id":13195,"name":"AstraZeneca","domain":"astrazeneca.com","url":"https://alion.io/company/astra-zeneca","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":92,"open_postings":122,"ghost_share":0,"stale_share":0.492,"repost_share":0.057,"time_to_fill_p50_days":20,"computed_at":"2026-10-24T06:02:35Z"}},"role":"DevOps","role_family":"DevOps","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Los Angeles, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":103000,"max":155000,"currency":"USD","period":"year","gross":null,"usd_annual":155000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"C#","optional":false},{"name":"Git","optional":false},{"name":"GMP","optional":false},{"name":"JavaScript","optional":false},{"name":"LIMS","optional":false},{"name":"Machine Learning","optional":false},{"name":"MQTT","optional":false},{"name":"OPC UA","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"GCP","optional":true}],"status":"live","first_seen_at":"2026-10-23T20:49:29Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-10-24T06:36:51Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"The Digital Automation Engineer will support 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 role offers hands-on experience across software development, artificial intelligence (AI) applications, robotics integration, and manufacturing application development within a regulated, GMP manufacturing environment. The ideal candidate is an early-career engineer with a strong foundation in programming and a curiosity for applying AI, robotics, and software engineering to real-world manufacturing challenges in Cell Therapy.\nKey Responsibilities\nSoftware & Application Development\nDevelop, test, and maintain software applications and scripts supporting manufacturing execution, automation, and digital workflows, under the guidance of senior engineers\nWrite clean, well-documented code in Python, Java, JavaScript, C#, or similar languages\nParticipate in code reviews, unit testing, and debugging of applications\nSupport development of low-code/no-code manufacturing applications (e.g., Tulip) for shop floor execution and operator workflows\nAssist with building and testing APIs and integrations between manufacturing systems\nAI & Machine Learning\nSupport development, training, and testing of AI/ML models for manufacturing use cases such as predictive maintenance, anomaly detection, and process optimization\nAssist with data collection, cleaning, and preparation for AI/ML projects\nLearn and apply foundational AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) under mentorship\nContribute to proof-of-concept projects exploring AI-driven manufacturing intelligence\nRobotics & Automation Integration\nAssist in integrating robotics platforms, automation equipment, and OT systems with digital manufacturing platforms\nSupport configuration and testing of middleware and industrial connectivity protocols (e.g., OPC-UA, MQTT)\nParticipate in troubleshooting of automation and robotics interfaces under supervision\nDocument integration processes, equipment telemetry, and automation workflows\nManufacturing Systems Support\nSupport day-to-day operation and continuous improvement of MES, LIMS, and manufacturing orchestration platforms\nAssist with testing, validation, and deployment of new digital manufacturing applications\nHelp troubleshoot application issues and escalate complex problems to senior team members\nContribute to documentation of system configurations and standard operating procedures\nCollaboration & Professional Growth\nPartner with Manufacturing Operations, Automation Engineering, Quality, and Digital IT teams on assigned projects\nParticipate in Agile ceremonies, including sprint planning, stand-ups, and retrospectives\nSeek mentorship from senior engineers to build technical and Cell Therapy domain expertise\nPursue ongoing learning in GxP compliance, Cell Therapy manufacturing, and Industry 4.0 technologies\nRequired Qualifications\nBachelor's degree in Computer Science, Software Engineering, Computer Engineering, Electrical Engineering, Automation/Mechatronics Engineering, Information Systems, or related field (or equivalent practical experience)\nAt least 2 years of experience in software development through internships, co-ops, academic projects, or professional roles\nFoundational programming skills in one or more languages: Python, Java, JavaScript, C#, or similar\nBasic understanding of AI/machine learning concepts, gained through coursework, projects, or self-study\nExposure to robotics, automation, or embedded systems through coursework, internships, or personal projects\nFamiliarity with application development fundamentals, including APIs, databases, and version control (e.g., Git)\nStrong problem-solving skills and eagerness to learn in a regulated manufacturing environment\nEffective written and verbal communication skills\nPreferred Qualifications\nAcademic, internship, or personal project experience applying AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn)\nExposure to robotics platforms, PLCs, or industrial automation equipment\nFamiliarity with low-code manufacturing platforms (e.g., Tulip) or manufacturing execution systems (MES/LIMS)\nInterest or coursework in Cell Therapy, biologics, pharmaceutical, or regulated (GxP) manufacturing environments\nExposure to cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines\nKnowledge of industrial connectivity protocols (OPC-UA, MQTT)\nFamiliarity with Agile development practices\nThe annual base pay (or hourly rate of compensation) for this position ranges from $103K to $155K. Our positions offer eligibility for various incentives-an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. 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.\nDate Posted\n23-Oct-2026Closing Date\n05-Nov-2026Our mission is to build an inclusive environment where equal employment opportunities are available to all applicants and employees. In furtherance of that mission, we welcome and consider applications from all qualified candidates, regardless of their protected characteristics. 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