Digital Pathology Specialist
Impact: Direct Patient Care, Research, Technological Advancement
Manage and operate digital pathology systems, ensuring accurate, secure, and accessible digital pathology data while collaborating with multidisciplinary teams to integrate AI tools and enhance diagnostic and research capabilities.
What the day looks like
- People interaction
- Moderate
- Team vs solo
- Team-oriented
- Client facing
- Never
- Impact visibility
- High
- Travel
- Occasional
- Schedule flexibility
- Moderate
- Remote work
- Hybrid
- Typical work hours
- 40
- Stress level
- Moderate
At a glance
- Median salary
- $95,000
- Entry-level
- $70,000
- Senior
- $130,000
- Growth by 2033
- Excellent
- Demand
- Growing
- Freelance potential
- Low
- Salary growth potential
- High
- Typical student debt
- $30,000 - $60,000
Skills you'll use
Hard skills
- Digital Image Analysis Software
- Histopathology
- Data Management
- Machine Learning/AI
- Laboratory Information Systems (LIS)
Soft skills
- Critical Thinking
- Problem Solving
- Attention to Detail
- Collaboration
- Communication
Technical complexity: High
How to get there
- Minimum education
- Bachelor's Degree
- Licensing
- No
- Years to mid-career
- 5
- Years to senior
- 10
- Career switching
- Moderate
Where this career leads
How people arrive here
Where you can go from here
Typical progression
- Digital Pathology Manager, Computational Pathology Scientist, AI/ML Engineer in Healthcare
Future outlook
- Automation probability
- Low
- AI disruption risk
- Low
- Demand trend
- Growing
How people feel about it
- Overall satisfaction
- 4/10
- Meaning
- 4/10
- Work-life balance
- 3.5/10
- Prestige
- 7.5/10
- Social perception
- High