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Director, Clinical AI Operations

Radiology Partners · United States · US

Health Tech
Remote
physician
Nurse
Pharmacist
Demand78
Career growth80
Healthcare fit82
Remote potential85
Salary band
USD 120k – 140k
5-year outlook
Clinical AI operations leadership is a growing niche with upward pressure as health systems scale AI adoption; compensation should trend above generalist project management but may lag traditional hospital executive pay. Growth depends on demonstrated ROI and regulatory navigation experience.
Clinical license
Not required
Applicant reach
moderate
Seniority
senior
Employment type
full-time
Date found
2026-10-07

Intelligence details

Flexible work details

Engagement type
Permanent
Hours
Full-time
Eligible countries
United States
Profession fit
physician, Nurse, Pharmacist
Rate period
Annual

Listing via Himalayas.

Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.

Why this is worth applying to

Worth applying for clinicians with radiology workflow depth and project management experience who want to move into clinical AI operations. The dual experience requirement is steep, so only apply if you can credibly evidence both clinical domain and technical project delivery.

Who should apply

Radiologists or radiology-adjacent clinicians (including imaging informatics-trained physicians, radiology nurses, and imaging allied health professionals) with 5+ years of workflow/software experience and a track record managing clinical or technical projects. Strong fit for clinicians who have led PACS, imaging IT, or AI deployment initiatives.

CV angle

Reframe clinical radiology experience as workflow domain expertise: quantify exams, modalities, or systems supported; highlight any PACS/RIS/imaging IT involvement; and translate clinical leadership into project outcomes (deployment timelines, adoption rates, training delivered). Emphasize cross-functional collaboration with IT, vendors, and data teams, and use Agile/Waterfall language for any project work. Do not claim engineering or data science skills you do not have — position yourself as the clinical-technical bridge.

Skills to highlight

  • Radiology and imaging clinical workflows
  • Clinical AI validation and deployment
  • Project and portfolio management (Agile/Waterfall)
  • Cross-functional stakeholder communication
  • Clinical-to-technical requirements translation
  • User training and AI adoption enablement
  • Vendor and client management
  • Performance monitoring and process optimization

Role summary

A senior health-tech operations role at Radiology Partners' Mosaic Clinical Technologies, serving as the clinical SME for an AI-native imaging platform. The director designs, validates, and scales clinical AI workflows, manages complex multi-project portfolios, coordinates engineering, data science, operations, vendors, and clients, and drives clinician adoption through training and support.

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