Computer and Information Research Scientist
SOC 15-1221.00 · ESCO 2133 · OSCA 244432
Role snapshot
Overview
Computer and Information Research Scientists are at the forefront of technological innovation, pushing the boundaries of what computers can achieve. They design experiments, publish papers, and develop new algorithms or computational theories. Their work involves deep mathematical analysis, writing code prototypes, and presenting findings at conferences. They focus on creating groundbreaking technologies and improving existing ones.
Drives innovation in computing, artificial intelligence, and data science, leading to advancements that transform industries, solve complex problems, and improve daily life.
On the job
- Design and conduct experiments to test new computational theories and algorithms
- Develop advanced algorithms and computational models for various applications
- Write and publish research papers in peer-reviewed journals and present findings at conferences
- Collaborate with other researchers, engineers, and scientists on interdisciplinary projects
- Prototype and implement software solutions to validate research concepts
Tools & technology
Average salary
Job outlook
ExcellentNew job opportunities are highly likely. Demand significantly outpaces supply in most markets.
Education & training
Doctoral degree (Ph.D.) in computer science, mathematics, or a related field is often required, though a Master's degree with significant research experience may be accepted.
AI impact outlook
Note — this is our current view. AI is moving fast, so we revisit these ratings.
Show how this was assessed Hide the detail
Note — this is our current view. AI is moving fast, so we revisit these ratings.
Show how this was assessed Hide the detailWhy this role received this rating
Core task exposure
high
How much of the role’s important work could AI perform?
Most of the core work, including algorithm development, code prototyping, literature synthesis, and data analysis, is directly amenable to AI assistance and generation.
End-to-end automation
moderate
Can AI complete the work without substantial human involvement?
While AI can generate significant portions of code, analyze datasets, and even draft research components, the creative spark and validation of novel theories remain human-led.
Adoption pressure
high
How likely are employers to introduce AI into this work?
As a field focused on AI, these scientists are early and heavy adopters of AI tools to accelerate their own research, driving significant pressure to integrate new capabilities.
Human dependence
moderate
How much does success depend on human judgement, relationships and accountability?
Success hinges on human ingenuity for conceiving truly novel algorithms, validating complex theories, and presenting groundbreaking findings, which AI cannot yet replicate.
Protective — a higher rating lowers the overall score.
Role adaptability
strong
How easily can the role evolve as AI takes on more tasks?
The role is highly adaptable, constantly evolving with new computational paradigms and research questions, allowing for easy integration of AI as a research partner.
Shown for context — not part of the score.
What AI may take on
These are the parts of the role most likely to be automated or significantly accelerated.
- Generate code prototypes for new algorithms
- Synthesize vast amounts of research literature to identify gaps
- Optimize parameters for machine learning models and experiments
- Analyze large datasets for patterns and insights
- Draft initial sections of research papers and presentations
- Design and simulate computational experiments
Where people remain essential
These parts continue to depend heavily on human judgement, relationships and accountability.
- Formulating groundbreaking computational theories and hypotheses
- Validating the rigor and correctness of new algorithms
- Interpreting complex results and drawing high-level conclusions
- Presenting findings at conferences and engaging with the scientific community
- Securing funding and directing research programs
- Ensuring ethical considerations in AI development
How the role may evolve
From implementing algorithms to inventing breakthrough computational paradigms.
The role will increasingly leverage AI as a sophisticated assistant for routine research tasks, allowing scientists to dedicate more time to fundamental theoretical work and innovative problem-solving.
Strengthen your future fit
- Deep mathematical and theoretical understanding of computation
- Ability to prompt and evaluate AI-generated code and analysis
- Strong critical thinking and problem-solving for complex issues
- Communication skills for disseminating complex research
- Ethical reasoning in the context of AI and data science
- Assessment horizon
- 3–7 years
- Confidence
- High
- Last reviewed
- August 2026
- Methodology
- v1.0
This assessment reflects current AI capabilities and expected adoption patterns. Actual impacts will vary by industry, employer and the way each role is performed.
Career pathways
WHERE YOU COULD GO
CURRENT ROLE
Computer and Information Research Scientist
Research & Academia
ADJACENT MOVES
STARTING POINTS
Who thrives here
Interest profile
investigative · ICR
People who enjoy deep investigation, systematic problem-solving, and applying precise methods to conceptual challenges often thrive in this role.
Personality characteristics
Intellectually curious
Driven by a strong desire to explore new ideas, theories, and computational paradigms.
Methodical
Approaches research with a systematic, organized, and detail-oriented mindset, ensuring accuracy and rigor.
Analytical
Enjoys dissecting complex problems, identifying patterns, and applying logical reasoning to find solutions.
Collaborative
Values working with others to share knowledge, critique ideas, and collectively advance research goals.
Resilient
Maintains composure and persistence when facing setbacks, complex challenges, or experimental failures.
Best for
- Individuals passionate about pushing the boundaries of computer science and technology.
- Those who enjoy intellectual challenges, abstract thinking, and rigorous experimentation.
- People who are self-motivated, persistent, and thrive in environments focused on discovery and innovation.
Watch out for
- The role often requires advanced degrees (Master's or Ph.D.) and a strong academic background.
- Projects can involve long periods of intense, complex problem-solving with no immediate breakthroughs.
- Occasional travel for conferences and presentations is expected.
A week in the life
A representative working week for a Computer and Information Research Scientist — where the deep work, meetings, and admin actually land.
Real people. Real results.
Thousands of people
can't be wrong.
Frequently asked questions about Computer and Information Research Scientist roles
What does a Computer and Information Research Scientist do?
A Computer and Information Research Scientist computer and Information Research Scientists are at the forefront of technological innovation, pushing the boundaries of what computers can achieve. They design experiments, publish papers, and develop new algorithms or computational theories. Their work involves deep mathematical analysis, writing code prototypes, and presenting findings at conferences. They focus on creating groundbreaking technologies and improving existing ones. Drives innovation in computing, artificial intelligence, and data science, leading to advancements that transform industries, solve complex problems, and improve daily life.
How much does a Computer and Information Research Scientist earn?
A Computer and Information Research Scientist earns a median of $136,000 per year in the US, typically ranging from $100,000 to $180,000.
What qualifications do you need to become a Computer and Information Research Scientist?
To become a Computer and Information Research Scientist, doctoral degree (Ph.D.) in computer science, mathematics, or a related field is often required, though a Master's degree with significant research experience may be accepted.
What personality suits a Computer and Information Research Scientist?
Computer and Information Research Scientist roles tend to suit people who are open and curious — drawn to variety, ideas and new approaches (Openness 92/100) and highly conscientious — precise, organised and strong on follow-through (Conscientiousness 80/100). The traits that matter most in the role are Intellectually curious, Methodical, Analytical and Collaborative. Driven by a strong desire to explore new ideas, theories, and computational paradigms. On interests, Computer and Information Research Scientist maps to an ICR Holland Code profile — people who enjoy deep investigation, systematic problem-solving, and applying precise methods to conceptual challenges often thrive in this role.
Who does a Computer and Information Research Scientist role suit?
A Computer and Information Research Scientist role is usually a strong fit for these reasons. Strong Investigative and Conventional affinity: the role rewards deep analysis, systematic problem-solving, and precise execution. High openness to experience, driving innovation and exploration of new computational frontiers. A significant portion of the week is dedicated to deep work, ideal for those who thrive on focused intellectual tasks.
What are the downsides of being a Computer and Information Research Scientist?
Computer and Information Research Scientist roles come with trade-offs worth weighing up. The role often requires advanced degrees (Master's or Ph.D.) and a strong academic background. Projects can involve long periods of intense, complex problem-solving with no immediate breakthroughs. Occasional travel for conferences and presentations is expected.
What is the work environment like for a Computer and Information Research Scientist?
Work as a Computer and Information Research Scientist is mostly office-based with hybrid arrangements common, semi-structured — a mix of set processes and self-directed work, a moderate pace and high exposure to clients or stakeholders. Around 68% of the week is focused deep work.
What skills do you need to be a Computer and Information Research Scientist?
Core skills for a Computer and Information Research Scientist include Machine learning, Deep learning, Algorithm design, Statistical analysis, Scientific writing and Data modeling.
How do you become a Computer and Information Research Scientist?
Common entry routes into Computer and Information Research Scientist roles include Phd Student Computer Science, Postdoctoral Researcher and Machine Learning Engineer.
What career progression is there for a Computer and Information Research Scientist?
From a Computer and Information Research Scientist role, common next steps include Lead Research Scientist and University Professor (Computer Science); lateral moves include AI/ML Engineer and Data Scientist.
What is the job outlook for Computer and Information Research Scientist roles?
The outlook for Computer and Information Research Scientist roles is currently rated excellent. New job opportunities are highly likely. Demand significantly outpaces supply in most markets.
Will AI replace Computer and Information Research Scientist roles?
Traitstack rates automation risk for Computer and Information Research Scientist roles at 64 out of 100, which is strong. AI will augment algorithm development, code prototyping, and literature analysis, shifting the scientist's focus to conceiving truly novel theories and validating complex computational models. AI is most likely to take on generate code prototypes for new algorithms, synthesize vast amounts of research literature to identify gaps and optimize parameters for machine learning models and experiments. Formulating groundbreaking computational theories and hypotheses, validating the rigor and correctness of new algorithms and interpreting complex results and drawing high-level conclusions stay with people. From implementing algorithms to inventing breakthrough computational paradigms. That score measures how much of the work could change, not the likelihood the job disappears. It is Traitstack's current view, revisited as AI capability moves.