Short answer
AI will reshape this job more than most, but BLS does not forecast it disappearing. The exposure is among the highest BLS measured, yet it still projects employment to grow faster than average.
AI and jobs
The Bureau of Labor Statistics places medical scientists in its very high AI exposure category, among the occupations most exposed to current AI. BLS projects employment to change by +12.6% over 2025–2035, against 3.5% for all occupations, with about 10,500 openings a year.
Short answer
AI will reshape this job more than most, but BLS does not forecast it disappearing. The exposure is among the highest BLS measured, yet it still projects employment to grow faster than average.
The federal measure
The Bureau of Labor Statistics publishes a relative AI exposure category for each occupation it projects, built from five public measures of where AI could be, or already is, used to assist with or complete the work. Medical Scientists land in the very high category: among the occupations most exposed to current AI.
Where this job sits on the BLS scale
786 occupations in the NueCareer bank, in BLS's four relative categories; width shows how many fall in each
Source: BLS Employment Projections, AI exposure categories supplemental table.
Inside the work
O*NET rates how important each work activity is to an occupation and how often each working condition comes up. The ratings below are the ones that move the job's NueCareer AI-resilience score the most: the ones that pull it up, and the ones that pull it down. Only ratings clearly above the midpoint count.
Physical, hands-on and person-to-person work
Routine, repeatable and screen-based work
O*NET 31.0 Database task statements, most important first.
The jobs
Exposure says where AI meets the work. The BLS projection says what the labor market is expected to do over 2025–2035. BLS projects +12.6% change in employment over the decade, against 3.5% across all occupations, and about 10,500 openings a year once retirements and career changes are counted. About 172,340 people work in the job today, at a median of $103,410 a year (BLS OEWS, May 2025).
Full medical scientist, except epidemiologists profile: pay by state, entry route and skills
Options
Careers O*NET lists as related to the work, or in the same field at similar pay, that BLS places in a lower exposure category.
Healthcare Practitioners and Technical
Perform complex medical laboratory tests for diagnosis, treatment, and prevention of disease.
Life, Physical, and Social Science
Investigate the growth, structure, development, and other characteristics of microscopic organisms, such as bacteria, algae, or fungi.
Life, Physical, and Social Science
Assess and diagnose patients with neurobehavioral problems related to acquired or developmental disorders of the nervous system, such as neurodegenerative disorders, traumatic brain injury, seizure disorders, and lear…
Healthcare Practitioners and Technical
Diagnose diseases and conduct lab tests using organs, body tissues, and fluids.
Questions
AI will reshape this job more than most, but BLS does not forecast it disappearing. The exposure is among the highest BLS measured, yet it still projects employment to grow faster than average. BLS defines exposure as AI being able to assist with or complete some of the work, and says it does not imply job loss, productivity gains or wage effects. BLS projects employment to change by +12.6% over 2025–2035, against 3.5% for all occupations, with about 10,500 openings a year.
BLS sorts 786 occupations into four relative categories: low, moderate, high and very high. Medical Scientists are in the very high category, alongside 198 other occupations. The categories combine five public measures of where AI could be or already is used, and they compare occupations with each other rather than giving an absolute risk.
In O*NET's description of the work, the parts that overlap most with what AI handles well are processing information, documenting/recording information and repeating the same tasks. The parts that hold up best are face-to-face discussions, thinking creatively and establishing and maintaining interpersonal relationships. These come from O*NET ratings of how important each activity is to the job, read through NueCareer's AI-resilience method.
On NueCareer's AI-resilience score, built from O*NET work activities, medical scientists score 24 out of 100, higher than 14% of the occupations we score. The job pays a median of $103,410 a year (BLS OEWS, May 2025). No job is fully safe from technological change, but the federal exposure category and the projected openings are the two numbers worth weighing.
Medical and Clinical Laboratory Technologist (moderate exposure, $62,930 median), Microbiologist (high exposure, $87,990 median), Clinical Neuropsychologist (high exposure, $110,840 median), Pathologist (high exposure, $312,400 median). Each is in a lower BLS exposure category than medical scientists, and most are listed by O*NET as related to the work.
The AI exposure category is the Bureau of Labor Statistics'. The AI-resilience score and the activity breakdown are NueCareer's analysis of O*NET 31.0 Database data (method), not a federal figure. More: jobs most exposed to AI, jobs least exposed to AI, or check any job.