67
/100

SOC 15-2099

Mathematical Science Occupations, All Other

High RiskFrey/Osborne: 99.0%

Risk Score

โš ๏ธ

67/100

High Risk

US Employment

๐Ÿ‘ฅ

4,660

Total workers

Median Wage

๐Ÿ’ฐ

$71K

$40K โ€“ $154K

Projected Growth

๐Ÿ“ˆ

+4%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

82/100

High exposure

How we calculate these numbers โ†’

๐Ÿ’ก Mathematical Science Occupations, All Other face a risk score of 67/100 โ€” 23 points above the national average of 44. With 82/100 GenAI exposure, this occupation faces significant pressure from AI tools despite strong projected growth. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $71K ($25K above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 67/100, Mathematical Science Occupations, All Other faces moderate automation pressure. While tasks like ai pair-programming and code generation tools are increasingly handled by AI, the role retains significant human elements. The 4,660 workers in this occupation should focus on strengthening skills in stakeholder negotiation and requirements elicitation and architecting novel systems requiring creative problem-solving to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Mathematical Science Occupations, All Other?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

AI pair-programming and code generation tools

2

Automated data interpretation and insight generation

3

AI-generated written content replacing manual drafting

4

AI-powered research and literature review tools

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Stakeholder negotiation and requirements elicitation

โœ“

Architecting novel systems requiring creative problem-solving

โœ“

Cross-functional collaboration on ambiguous problems

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Analyze or manipulate bioinformatics data using software packages, statistical applications, or data mining techniques.

โ€ข

Extend existing software programs, web-based interactive tools, or database queries as sequence management and analysis needs evolve.

โ€ข

Maintain awareness of new and emerging computational methods and technologies.

โ€ข

Conduct quality analyses of data inputs and resulting analyses or predictions.

โ€ข

Enter or retrieve information from structural databases, protein sequence motif databases, mutation databases, genomic databases or gene expression databases.

๐Ÿ’ป Technology Skills

โ€ข

File versioning software

โ€ข

Enterprise application integration software

โ€ข

Access software

โ€ข

Analytical or scientific software

โ€ข

Development environment software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Computers and Electronics

โ€ข

Mathematics

โ€ข

English Language

โ€ข

Biology

โ€ข

Design

๐Ÿ“Š vs National Average

Median Wage$71K
+$25K

National avg: $46K

Risk Score67/100
+23

National avg: 44/100

GenAI Exposure82/100
+44

National avg: 38/100

Projected Growth4.0%
+0.3%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Advertising, Marketing, Promotions, Public Relations, and Sales Managers16$145K67%
Mathematicians24$122K71%
Computer Occupations26$106K82%