Clinical Applications Platform Expert, Pathology

LE0010 Stanford Health Care; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

Stanford Health Care is seeking a Pathology Platform Expert to provide deep technical and functional expertise across the Beaker and Imaging Platform continuum, supporting AP workflows, slide preparations, and image acquisitions.

You will evaluate build-vs-buy options, ensure interoperability with Epic, drive data modeling standards, and mentor Analysts 1-3 while advancing AI deployments in clinical and research settings.

Qualifications

• Deep technical and functional expertise across the Beaker and Imaging Platform continuum.
• Evaluate build-vs-buy and integration tradeoffs where clinical and research intersect.
• Ensure interoperability across clinical systems and dataflow between Epic and imaging platforms.
• Mentor Analysts 1-3 within Stanford Health Care.

Responsibilities

• Manage and create data model and dataflow standards across all imaging solutions.
• Collaborate across imaging, research operations, and industry direction for new technologies.
• Lead integration efforts to ensure reliable data movement between imaging platforms and Epic.

Skills

Imaging platform

Beaker integration

Epic interoperability

AI webservice deployment

Data modeling standards

Mentoring

Job description

If you're ready to be part of our legacy of hope and innovation, we encourage you to take the first step and explore our current job openings. Your best is waiting to be discovered. Day - 08 Hour (United States of America) \"The Pathology Platform Expert demonstrates the following overall skills: Deep technical and functional expertise across the Beaker and Imaging Platform continuum from AP workflows, slide preparations and image acquisitions.

• Skilled at solutioning across the imaging/ Lab portfolio evaluating build-vs-buy and integration tradeoffs where clinical, and research intersect.
• Strong grasp of interoperability across clinical applications systems, ensuring clinical and image object data move reliably between Epic and the imaging platform adhering to standard dataflow and data models deployed to better support AI implementations both clinically and operationally.
• Cross-functional understanding spanning clinical imaging, research/trial operations, and the industry direction for new technologies that can be utilized within Stanford to support clinical and operational strategy.
• Will Manage and create in collaboration Stanford assigned data model and dataflow standards across all imaging solutions using best practices and ensuring a clinically safe and complete dataset.
• Knowledge of AI webservice deployment utilizing the enterprise routing normalization and webservice infrastructure.
• Knowledge of hardware infrastructure and application optimization.
• Drive Mentoring activities to Analysts 1 - 3

Locations

Stanford Health Care