Associate Director, Laboratory Automation Systems
Johnson & Johnson
- Location
- Spring House, Pennsylvania, United States of America
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 2 approvals (FY2023)
- Posted
- Sep 12, 2026
Skills
About this role
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com . As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Function: R&D Product Development Job Sub Function: R&D Electrical/Mechatronic Engineering Job Category: People Leader All Job Posting Locations: Spring House, Pennsylvania, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine We are searching for the best talent for an Associate Director, Laboratory Automation Systems to be located in Spring House, PA. Purpose: The Associate Director, Laboratory Automation Systems will lead the laboratory automation platform organization that turns scientific workflow needs into deployed, adopted, and sustained automated capabilities. The role is accountable for team leadership, portfolio governance, standards, user adoption, system lifecycle, benefit realization, and the practical operating model required for multi-workcell automation. This role bridges laboratory automation scientists, automation and robotics engineers, IT/data teams, AI teams, scientific users, facilities, EHS, quality, procurement, and external partners. It does not replace engineering ownership of physical systems; it ensures the scientific automation platform is fit for purpose, adopted by users, supported over time, and continuously improved. You will be responsible for: Portfolio and Operating Model Leading laboratory automation scientists and matrix contributors delivering integrated automation systems across discovery and analytical workflows. Owning portfolio prioritization, resource planning, demand intake, business case input, risk management, governance, stage gates, backlog management, change control, key performance indicators (KPIs), and lifecycle ownership. Establishing practical operating models for workflow intake, scientific readiness assessment, user acceptance, hyper-care, support critical issues, method updates, release management, documentation, training, and routine performance review. Defining and managing platform KPIs such as uptime, throughput, first-pass success, run completion, data completeness, sample traceability, user adoption, hands-on time reduction, and scientific impact. Systems Delivery and Sustainment Overseeing design, implementation, qualification, optimization, hyper-care, and lifecycle support of automated workcells and orchestrated systems. Ensuring scientific workflows, automation designs, sample flows, consumable logistics, data flows, biosafety, user training, facilities needs, EHS constraints, support models, and sustainment plans are considered as one integrated system. Coordinating with engineering leadership to ensure physical workcell readiness, safety design, utilities, serviceability, maintainability, and machine-side reliability support scientific workflow needs. Driving