AI-Driven Digital Pathology Product Owner

Jobtailor; California (MO); On-site; USD 150,000 - 190,000; Full time

Job summary

Jobtailor is seeking an experienced AI Product Lead to define and advance an AI-enabled digital pathology platform. You will translate scientific use cases into practical capabilities for image analytics, multimodal models, automation, and human-in-the-loop decisions.

You will collaborate with data scientists and ML engineers to prepare data for model development, validate algorithms, and ensure scalable, compliant workflows across scanners and storage systems.

Qualifications

• 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: TensorFlow or PyTorch, image preprocessing, large-image data pipelines, etc.

Responsibilities

• 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.

Skills

Python

R

SQL

REST APIs

Docker

CI/CD

AWS

Azure

GCP

AI fluency

Troubleshooting

Education

Bachelor’s degree in Computer Science, Bioinformatics, Biomedical Engineering, Computational Biology, or related field

MS/PhD preferred

Tools

OpenSlide

QuPath

ImageJ/Fiji

Job description

Jobtailor is seeking an experienced AI Product Lead to define and advance an AI-enabled digital pathology platform. You will translate scientific use cases into practical capabilities for image analytics, multimodal models, automation, and human-in-the-loop decisions.

You will collaborate with data scientists and ML engineers to prepare data for model development, validate algorithms, and ensure scalable, compliant workflows across scanners and storage systems.