Technology Product Owner – Digital Pathology

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:

Technology Product & Platform Management

Job Sub Function:

Technical Product Management

Job Category:

Scientific/Technology

All Job Posting Locations:

La Jolla, California, United States of America, Spring House, Pennsylvania, United States of America

Job Description:

We are seeking the best talent for a Technical Product Owner – Digital Pathology, to be located in Spring House, PA (US), La Jolla, CA (US) or Beerse, Belgium.

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):

• United States (Spring House or La Jolla) - Requisition Number: R-092153
• Belgium (Beerse) - Requisition Number:   R-093933

The Technology Product Owner for Digital Pathology will own the strategy, technical delivery, adoption, and support of digital pathology products, working directly with business stakeholders and technical teams across key platforms. This business technology role combines hands-on expertise in pathology imaging, data pipelines, analytics, AI/ML, and generative AI with program-level leadership to coordinate cross-functional stakeholders, vendors, and engineering teams. You will enable scientists to acquire, access, analyze, and interpret high-quality slides and imaging data reliably and at scale while identifying opportunities to use AI responsibly to accelerate research workflows and improve decision-making.

Key Responsibilities

• Define and maintain an AI-enabled digital pathology product strategy and roadmap, translating scientific use cases into prioritized capabilities across image analytics, multimodal models, generative AI, workflow automation, and human-in-the-loop decision support.
• Evaluate and apply enterprise-approved large language models and AI assistants, such as Claude or comparable platforms, to accelerate requirements analysis, technical documentation, coding, scientific knowledge retrieval, and digital pathology workflow automation while protecting confidential and regulated data.
• Provide hands-on engineering work: build and maintain image processing pipelines, automation scripts, APIs, and integrations between scanners, viewers, storage, and analytics systems.
• Collaborate with data scientists and ML engineers to provision and optimize datasets for algorithm development and validation, support annotation workflows and tool integration.
• Lead responsible adoption of AI-enabled capabilities by establishing pilot criteria, user feedback loops, adoption plans, and outcome metrics such as analysis cycle time, annotation effort, model-assisted review efficiency, data reuse, and scientific decision impact.
• Ensure compliance with relevant data security, privacy, intellectual property, regulatory, and responsible AI requirements for research imaging data and AI-enabled solutions, including approved model and data usage, access controls, auditability, human oversight, bias and performance assessment, and documented risk-based validation.

Qualifications

Required:

• Bachelor’s degree in Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, or related field.
• 5+ years of hands-on technical experience supporting scientific research platforms (ideally with at least 2-3 years focused on digital pathology, histology imaging, or biomedical imagin