Senior Distinguished Scientist, Robotics & Autonomous Discovery

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:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Remote (US), Spring House, Pennsylvania, United States of America

Job Description:

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

Johnson & Johnson Innovative Medicine R&D is seeking a Senior Distinguished Scientist, Robotics & Autonomous Discovery to help define, build, and deploy the automation platforms that enable autonomous and AI-enabled drug discovery.  The primary location for this role is Spring House, PA.  Remote work options in the US may be considered on a case-by-case basis and if approved by the Company.  (An internal pre-identified candidate for consideration has been identified. However, all applications will be considered.)
 

This senior technical leadership role sits at the intersection of robotics, laboratory automation, instrumentation, software integration, artificial intelligence, and discovery science. The successful candidate will serve as a technical authority and hands-on innovation leader for advanced automation systems that accelerate Design-Make-Test-Analyze (DMTA) cycles across small molecule and biologic discovery.
 

The role is accountable for translating discovery automation priorities into technical architecture, engineering design, proof-of-principle execution, integration standards, and scalable platform implementation. The leader will partner closely with Discovery, In Silico Discovery, data science, engineering, quality, regulatory, EHS, and external innovation partners to deliver reliable, compliant, and operationally ready automation capabilities.
 

This is an opportunity to shape a new generation of autonomous discovery capabilities at enterprise scale. The leader in this role will help build robotics and automation platforms that improve the speed, quality, reproducibility, and learning velocity of therapeutic discovery. The work will connect physical laboratory systems with advanced computational and AI methods to create more integrated, data-rich, and scalable discovery workflows.

Key Responsibilities

• Serve as the senior technical authority for design, development, qualification, and deployment of advanced laboratory automation and self-driving laboratory capabilities within Discovery.
• Architect integrated automation ecosystems spanning robotic liquid handling, high-throughput synthesis and screening instrumentation, automated sample management, inline analytics, software interfaces, and hardware control systems.
• Integrate agentic AI, machine learning, and closed-loop control strategies with physical automation hardware to enable autonomous experimental execution and iterative DMTA cycle optimization.
• Own the technical architecture and platform roadmap for robotics and autonomous discovery, including engineering specifications, integration standards, platform sequencing, implementation readiness, and long-term scalability.
• Lead automation programs from concept and proof-of-principle validation through industrial-scale implementation, ensuring reliability, compliance, serviceability, and operational adoption.
• Establish and guide