Associate Director, AI-Driven Lab Automation

Johnson & Johnson Innovative Medicine; Spring House (PA); On-site; USD 137,000 - 236,000; Full time

Job summary

Johnson & Johnson Innovative Medicine seeks an Associate Director, Lab Automation & Intelligent Orchestration, on-site in Spring House, PA. You will lead the design, deployment, and scaling of AI-driven automation platforms for drug discovery, guiding multidisciplinary teams and strategic partnerships.

You will drive roadmaps for scalable systems, collaborate across biology, data science, and engineering, and ensure rapid, reproducible experiments with intelligent orchestration.

Qualifications

• Ph.D., M.S., or equivalent in Engineering, Bioengineering, CS, or related field.
• 6+ years building and scaling lab automation or AI-enabled platforms for drug discovery.
• Strong knowledge of drug discovery workflows and omics technologies.
• Experience leading technical teams in a matrixed organization.
• Ability design scalable workflows integrating automation, analytics, and data systems.

Responsibilities

• Develop strategic roadmaps for AI-native automation platforms.
• Lead cross-functional initiatives across biology, data science, and engineering.
• Build lab-in-the-loop capabilities with automation and AI to accelerate discovery.
• Partner with vendors and collaborators to advance next-generation capabilities.

Skills

Laboratory automation

AI-driven orchestration

Robotics integration

Workflow engineering

Team leadership

Cross-functional collaboration

Education

Ph.D., M.S., or equivalent in Engineering/Bioengineering/CS

Tools

Robotics hardware

Automation platforms

AI/ML tooling

Data integration

Job description

Johnson & Johnson Innovative Medicine seeks an Associate Director, Lab Automation & Intelligent Orchestration, on-site in Spring House, PA. You will lead the design, deployment, and scaling of AI-driven automation platforms for drug discovery, guiding multidisciplinary teams and strategic partnerships.

You will drive roadmaps for scalable systems, collaborate across biology, data science, and engineering, and ensure rapid, reproducible experiments with intelligent orchestration.