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Robotics & Automation Engineer
Novartis
$108.5–201.5K / year · Durham, North Carolina, US
Novartis is a global pharmaceutical company headquartered in Basel, Switzerland, developing medicines across oncology, immunology, and cardiometabolic diseases with operations worldwide.
Novartis, headquartered in Basel, Switzerland, is a global pharmaceutical company founded in 1996. With approximately 109,000 employees operating worldwide, the company develops medicines across oncology, immunology, cardiovascular diseases, renal diseases, and metabolic diseases, reaching over 280 million patients globally. For a robotics engineer, the relevance lies in the manufacturing and laboratory infrastructure at this scale: pharmaceutical production environments demand high-reliability automation for tasks such as precision dispensing, sterile handling, quality inspection, and high-throughput screening - domains where hardware-software integration, cleanroom constraints, and regulatory validation (e.g., GMP compliance) shape every design decision.
The company's therapeutic focus areas each impose distinct automation challenges. In oncology drug production, for example, handling cytotoxic compounds requires robotics systems engineered for containment and operator safety. Across its cardiovascular and metabolic pipelines, high-volume manufacturing lines depend on motion control, vision-guided pick-and-place, and tightly coupled SCADA/MES architectures that must meet traceability requirements across global sites. These are environments where edge cases - thermal drift in dosing, particulate generation from actuator wear, or calibration drift in vision systems - carry real consequences for product quality and patient safety.
Novartis emphasizes collaboration and a commitment to innovation within its engineering culture. The geographic footprint spanning Basel and global operations means robotics engineers may work on systems that must be deployed and maintained across multiple sites, adding integration and remote-diagnostics complexity. Candidates entering this environment should expect work that is tightly regulated, incrementally validated, and oriented toward production-grade reliability rather than rapid prototyping cycles.