Computer and Information Research Scientists
Alternative careers
Related career paths that build on similar skills and experience
Why it fits
Transfers computing architecture, hardware-software tradeoffs, experiments, prototypes, performance measures, and research methods.
Why it fits
Fits senior researchers using technical roadmaps, teams, budgets, vendors, research strategy, and stakeholder communication.
Why it fits
Uses systems design, tradeoff analysis, integration, scalability, technical standards, and complex problem solving.
Why it fits
Fits researchers using CS theory, publications, lectures, labs, student mentoring, and curriculum development.
Occupation snapshot
What does this snowflake show?
What's this?
We rate jobs using four factors. These are:
- Chance of being automated
- Job growth
- Wages
- Volume of available positions
These are some key things to think about when job hunting.
Risk & user votes
Calculated automation risk
Minimal Risk (0-20%): This occupation appears difficult to replace end-to-end with current or near-future automation, including AI software and robotics. Roles in this range usually depend on human judgement, creativity, care, leadership, specialist expertise, or adapting to messy real-world situations. AI and machines may still change parts of the work, but the occupation is likely to remain a distinct human role.
More information on what this score is, and how it is calculated is available here.
Human strengths important in this job
These are human abilities and work contexts that are important in this occupation. They may help explain why parts of the role are harder to replace end-to-end, but they are not the only inputs into the automation score.
Thinking creatively
Very importantWhy this matters
Decision-making and problem solving
Very importantWhy this matters
Communicating with people outside the organization
Very importantWhy this matters
Social perceptiveness
Quite importantWhy this matters
Instructing
Quite importantWhy this matters
Show 3 more strengths
Developing objectives and strategies
Quite importantWhy this matters
Active learning
Quite importantWhy this matters
Operations analysis
Quite importantWhy this matters
What users think
Based on 454 votes
Our visitors have voted there's a low chance this occupation will be automated. This assessment is further supported by the calculated automation risk level, which estimates 11% chance of automation.
What do you think the risk of automation is?
What is the likelihood that Computer and Information Research Scientists will be replaced by robots or artificial intelligence within the next 20 years?
Sentiment
Based on user votes over time
View sentiment trend
How opinions have changed over time
Pay & outlook
Wages
In 2024, the median annual wage for Computer and Information Research Scientists was $140,910 ($68 per hour).
The median annual wage for Computer and Information Research Scientists was 184.7% higher than the national median annual wage, which stood at $49,500.
View wage trend
Wages over time
Growth
The number of 'Computer and Information Research Scientists' job openings is expected to rise 19.7% by 2034
View employment trend
Total employment, and estimated job openings
Updated projections are due 09-2025.
Volume
As of 2024 there were 38,480 people employed as 'Computer and Information Research Scientists' within the United States.
This represents around < 0.001% of the employed workforce across the country
Put another way, around 1 in 4 thousand people are employed as 'Computer and Information Research Scientists'.
People also viewed
Job description
Conduct research into fundamental computer and information science as theorists, designers, or inventors. Develop solutions to problems in the field of computer hardware and software.
O*NET-SOC code: 15-1221.00
What people are saying (5)
I do see a lot of programming jobs getting obsolete, but programming is not Computer Science. Programming is a tool. If we ever render computer scientists obsolete then we might as well render physicists, mathematicians and other researchers obsolete.
I believe as the world become more digital the necessity to understand Computer Science will grow :)
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