Radiology AI Specialist
Impact: Patient diagnostic accuracy and clinical efficiency through expert radiology AI implementation
Implement, validate, and optimise AI-powered radiology tools that assist radiologists in detecting and diagnosing medical conditions from imaging studies. Evaluate AI radiology algorithms, manage clinical validation studies, train radiologists on AI tools, and ensure AI systems meet regulatory and clinical standards.
What the day looks like
- People interaction
- Moderate
- Team vs solo
- 60% Team / 40% Solo
- Client facing
- Sometimes
- Impact visibility
- Moderate
- Travel
- 10 to 20% for conferences and clinical site visits
- Schedule flexibility
- Moderate
- Remote work
- Hybrid
- Typical work hours
- 45 to 60 hours/week
- Stress level
- Low
At a glance
- Median salary
- $380,000
- Entry-level
- $200,000 - $280,000
- Senior
- $600,000+
- Growth by 2033
- 15% (faster than average)
- Demand
- Growing
- Freelance potential
- Low
- Salary growth potential
- High - 65 to 80% growth from entry to senior
- Typical student debt
- High
Skills you'll use
Hard skills
- 60
Soft skills
- 40
Technical complexity: Moderate
How to get there
- Minimum education
- Medical Degree
- Licensing
- No
- Years to mid-career
- 5 to 8 years
- Years to senior
- 10 to 15 years
- Career switching
- Hard
Where this career leads
How people arrive here
Where you can go from here
Typical progression
- Radiologist > Radiology AI Specialist > Senior Radiology AI Specialist > Head of Radiology AI > Chief Medical AI Officer
Future outlook
- Automation probability
- 10% very low risk as radiology AI requires medical expertise
- AI disruption risk
- Very Low
- Demand trend
- Growing
How people feel about it
- Overall satisfaction
- 7/10
- Meaning
- 7/10
- Work-life balance
- 6.5/10
- Prestige
- 7/10
- Social perception
- High