Medical Lab Scientist vs Pharmacist: Which Pays More?
Side-by-side salary comparison by city, experience level, and career growth outlook. Data reflects current market rates.
Medical Lab Scientist
Perform laboratory tests on patient samples to aid clinical diagnosis.
Pharmacist
Dispense medications, counsel patients on drug therapies, and prevent errors.
Pharmacist earns more on average — the national median is $70,753/year (101%) higher than a Medical Lab Scientist. However, salaries vary significantly by city, employer, and experience level — see the city-by-city breakdown below.
Medical Lab Scientist vs Pharmacist — Salary by City
National median figures in USD across top cities.
| City | Medical Lab Scientist | Pharmacist | Difference |
|---|---|---|---|
| San Francisco, CA | $103,069 | $208,483 | Medical $105,414 |
| New York, NY | $87,047 | $168,405 | Medical $81,358 |
| Seattle, WA | $102,380 | $199,024 | Medical $96,644 |
| Austin, TX | $79,439 | $160,336 | Medical $80,897 |
| Chicago, IL | $75,418 | $155,619 | Medical $80,201 |
| Boston, MA | $90,176 | $179,962 | Medical $89,786 |
| London, UK | £55,328 | £111,126 | Medical $55,798 |
| Toronto, Canada | CA$91,433 | CA$184,236 | Medical $92,803 |
Frequently Asked Questions
Does a Medical Lab Scientist or Pharmacist earn more?+
A Pharmacist earns more on average. The national median salary for a Medical Lab Scientist is $70,157/year, compared to $140,910/year for a Pharmacist — a difference of $70,753 (101%).
Which has better career growth — Medical Lab Scientist or Pharmacist?+
Medical Lab Scientist roles are growing at 7% YoY while Pharmacist demand is growing at 4% YoY. Medical Lab Scientist has stronger near-term demand growth.
Can you switch from Medical Lab Scientist to Pharmacist?+
Yes. Many professionals transition between these roles, especially since both are in the same category. Shared skills include: analytical thinking, communication, and industry knowledge.
Which is harder to automate — Medical Lab Scientist or Pharmacist?+
Pharmacist has a lower AI automation risk (38% vs 55%). Based on Oxford Martin School and McKinsey 2023 analysis.