Senior Principal Scientist, Technology Innovation, Commercial Data Science

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 https://www.jnj.com

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science

Job Category:

Scientific/Technology

All Job Posting Locations:

Titusville, New Jersey, United States of America

Job Description:

We are searching for the best talent for a Senior Principal Scientist, Technology Innovation, Commercial Data Science to be in Titusville, NJ.

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 groundbreaking the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

The Commercial Data Science team is seeking a highly innovative and strategic leader to drive Data Science/ AI/ Generative AI innovation, champion technological breakthroughs, and enable seamless integration of reusable AI components across the organization. The candidate will have a strong background in inventing and scaling Data Science/ AI capabilities, managing partner ecosystems, and transitioning solutions to production with a component-driven architecture. This role plays a part in new AI technology breakthroughs and in ensuring operational excellence for improving the reusability of AI innovations.

You will be a leader in a highly collaborative and supportive team, which is part of a broader dynamic and accomplished organization that supports multiple therapeutic areas and commercial functions.

Come join us in our mission to transform the future of health!

Key Responsibilities:

AI Innovation:

• Develop and contribute to new AI capabilities by inventing innovative solutions or using existing "AI Lego blocks" to create scalable, reusable components for business applications.

Component Architecture Adoption:

• Support NA teams in adopting and implementing a component-driven AI architecture, enabling rapid scaling and integration of new technologies across use cases.

Transition to Business and Production:

• Seamlessly transition AI innovations from the research phase to Business Innovation teams and production deployment for NA Commercial, Medical Affairs and Patient teams while ensuring robust performance.

Production Oversight:

• Supervise production deployed data science models and AI systems to ensure business outcomes are met. Work closely with the vendor ecosystem to maintain high standards of service and output.

Partner Ecosystem Management:

• Build and maintain strategic relationships with partners, startups, hyperscalers, and ecosystem partners to explore, test and integrate new innovative AI technologies.

Operational Excellence:

• Enable sustainable innovation through reusable Data Science/ AI components, cost-effective operations, and streamlined production workflows. Oversee vendor contributions to ensure production quality and innovation

• Provide individual and team leadership to data scientists and AI/ML engineers, providing scientific and business mentorship in a fast-paced, matrixed environment to ensure they are growing their capabilities and achieving their career goals

• Forge deep collaborations with other NA data and data science and AI leaders across J&J to develop the related technology strategy, including data, tools, methods, infrastructure, and partnerships

• Drive organizational vision and strategy as a core member of the Commercial Data Science Chapter Leadership Team

Qualifications / Requirements:

• PhD and 5+ years, or Master degree and 8+ years of proven experience with degree in Machine Lear