VP, Digital Pathology & AI Innovation Leader

Caris MPI, Inc.

Phoenix (AZ)

On-site

USD 250,000 - 350,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Retirement plan
Professional development

Job summary

Caris Life Sciences seeks an accomplished executive to lead its Digital Pathology organization, aligning strategy with enterprise goals and regulatory requirements.

The VP will drive image management, AI-enabled pathology initiatives, and workflow optimization, partnering with IT, Data Science, andClinical teams to accelerate innovation while maintaining compliance and quality across the enterprise.

Qualifications

  • Doctorate or Master’s degree in Life Sciences, Biomedical Sciences, Engineering, Computer Science, Health Informatics, or a related field.
  • 12+ years in Digital Pathology, Computational Pathology, or Healthcare Technology environments.
  • 8+ years of leadership experience managing managers and cross-functional teams in regulated healthcare settings.
  • Proven executive leadership within CLIA/CAP/ISO/FDA-regulated environments.
  • Experience leading enterprise digital pathology programs and large-scale deployments.

Responsibilities

  • Provide strategic and operational leadership for the Digital Pathology organization.
  • Develop enterprise digital pathology strategy, roadmap, and long-term vision.
  • Oversee software validation, deployment planning, and end-user adoption.
  • Ensure regulatory compliance and quality across pathology platforms.
  • Lead vendor relationships, budgeting, and technology partnerships.

Skills

Executive leadership
Digital pathology
Strategic planning
Regulatory compliance
Change management

Education

PhD/MD or equivalent

Tools

Digital pathology platforms
AI/ML tools

Job description

Caris Life Sciences seeks an accomplished executive to lead its Digital Pathology organization, aligning strategy with enterprise goals and regulatory requirements.

The VP will drive image management, AI-enabled pathology initiatives, and workflow optimization, partnering with IT, Data Science, andClinical teams to accelerate innovation while maintaining compliance and quality across the enterprise.

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