Technology Product Owner – Digital Pathology

Johnson & Johnson

Digital pathology product owner at Johnson & Johnson, advancing AI-enabled imaging platforms for healthcare research. Leading strategy, engineering delivery, adoption, and responsible AI integration across scientific workflows.

Posted 8/13/2026full-timeSpring House • California, Pennsylvania • 🇺🇸 United StatesMid-LevelSenior💰 $94,000 - $151,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI-enabled digital pathology product strategy, including image analytics, multimodal models, and workflow automation. Proficient in integrating scientific use cases with technical requirements while ensuring compliance with data security and regulatory standards.

Highest-signal resume keywords

AI-Enabled Digital PathologyImage Processing PipelinesPython/R ProgrammingLarge Language ModelsDigital Pathology Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Image AnalyticsWorkflow AutomationData EngineeringSQLREST APIsDockerCI/CDAWSAzureGCP

Soft Skills

Excellent CommunicationTroubleshooting SkillsRoot-Cause Analysis

Tools & Technologies

OpenSlideQuPathImageJ/FijiTensorFlowPyTorch

Industry Keywords

Digital PathologyHistology ImagingBiomedical ImagingCompliance FrameworksAnnotation Workflows

Tech Stack

Tools & technologies

AWSAzureDistributed SystemsDockerGoogle Cloud PlatformNoSQLPythonPyTorchSQLTensorflow

About the role

Key responsibilities & impact

Define and maintain an AI-enabled digital pathology product strategy and roadmap
Translate 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 to accelerate requirements analysis, documentation, coding, scientific knowledge retrieval, and workflow automation
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 adoption of AI-enabled capabilities through pilot criteria, user feedback loops, adoption plans, and outcome metrics
Ensure compliance with data security, privacy, intellectual property, regulatory, and responsible AI requirements
Coordinate cross-functional stakeholders, vendors, and engineering teams
Enable scientists to acquire, access, analyze, and interpret high-quality slides and imaging data reliably and at scale

Requirements

What you’ll need

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 2–3 years focused on digital pathology, histology imaging, or biomedical imaging systems
Track record leading technical programs or major products end-to-end in a complex organization
Familiarity with whole-slide imaging formats including SVS, NDPI, and OME-TIFF
Experience with OpenSlide, QuPath, ImageJ/Fiji, or similar tools
Strong software and data engineering skills using Python/R, SQL, REST APIs, Docker, CI/CD, and AWS/Azure/GCP
Experience integrating slide scanners and microscopes with IT systems via APIs, vendor SDKs, or middleware
Understanding of SQL and/or NoSQL databases and metadata management
Strong troubleshooting and root-cause analysis skills for distributed systems and imaging hardware/software
Excellent written and verbal communication skills
Strong AI fluency, including assessment of foundation models, computer vision methods, and AI development tools
Ability to work directly with scientists in lab settings and translate needs into technical requirements
Preferred: Advanced degree (MS/PhD) in a related discipline
Preferred: Experience with TensorFlow or PyTorch, image preprocessing, large-image data pipelines, object storage, scanner ecosystems, viewer platforms, MLOps, LIMS, compliance frameworks, annotation workflows, and pharmaceutical, biotech, or academic core facility environments

Benefits

Comp & perks

Retirement plan (pension)
Savings plan (401(k))
Vacation – 120 hours per calendar year
Sick time – 40 hours per calendar year; 48 hours for Colorado employees; 56 hours for Washington employees
Holiday pay, including Floating Holidays – 13 days per calendar year
Work, Personal and Family Time – up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave – 240 hours for an immediate family member; 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year
Inclusive interview process and accommodation support