Statistical Programmer
Impact: Knowledge creation, Patient outcomes
Develops, validates, and maintains statistical programs for data analysis, reporting, and visualization in research or clinical trials.
What the day looks like
- People interaction
- Moderate
- Team vs solo
- 60% Team / 40% Solo
- Client facing
- Sometimes
- Impact visibility
- High
- Travel
- Minimal
- Schedule flexibility
- Flexible
- Remote work
- Hybrid
- Typical work hours
- 40-50 hours/week
- Stress level
- Moderate
At a glance
- Median salary
- $109,205
- Entry-level
- $75,000 - $95,000
- Senior
- $152,659+
- Growth by 2033
- 10% (faster than average)
- Demand
- Growing
- Freelance potential
- Moderate
- Salary growth potential
- High to 60-80% growth from entry to senior
- Typical student debt
- $30,000 - $60,000
Skills you'll use
Hard skills
- SAS
- R
- Python
- SQL
- Statistical Analysis
- Data Visualization
- Clinical Trials
- CDISC
Soft skills
- Problem-solving
- Attention to Detail
- Analytical Thinking
- Communication
- Collaboration
- Time Management
Technical complexity: Very High
How to get there
- Minimum education
- Bachelor's Degree
- Licensing
- No
- Years to mid-career
- 3-5 years
- Years to senior
- 7-10 years
- Career switching
- Moderate
Where this career leads
How people arrive here
Where you can go from here
Typical progression
- Junior Statistical Programmer
- Statistical Programmer
- Senior Statistical Programmer
- Principal Statistical Programmer / Manager
Future outlook
- Automation probability
- 25% to some tasks can be automated, but complex problem-solving requires human oversight
- AI disruption risk
- Low
- Demand trend
- Growing
How people feel about it
- Overall satisfaction
- 3.5/10
- Meaning
- 3.8/10
- Work-life balance
- 3.2/10
- Prestige
- 7.5/10
- Social perception
- High