Computer and Information Research Scientists
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.
🎬Career Video
📋Key Responsibilities
- •Analyze problems to develop solutions involving computer hardware and software.
- •Apply theoretical expertise and innovation to create or apply new technology, such as adapting principles for applying computers to new uses.
- •Assign or schedule tasks to meet work priorities and goals.
- •Meet with managers, vendors, and others to solicit cooperation and resolve problems.
- •Design computers and the software that runs them.
- •Conduct logical analyses of business, scientific, engineering, and other technical problems, formulating mathematical models of problems for solution by computers.
- •Evaluate project plans and proposals to assess feasibility issues.
- •Participate in multidisciplinary projects in areas such as virtual reality, human-computer interaction, or robotics.
💡Inside This Career
The computer and information research scientist pushes the boundaries of computing—developing new algorithms, solving theoretical problems, creating novel technologies, and conducting the research that advances computer science beyond its current limits. A typical week blends deep thinking with experimental work. Perhaps 40% of time goes to research: developing proofs, designing experiments, analyzing results. Another 30% involves implementation—building prototypes, writing code, testing ideas. The remaining time splits between reading literature, writing papers, attending conferences, and the teaching or mentoring that academic positions typically require.
People who thrive as computer science researchers combine exceptional intelligence with creative thinking and the persistence that novel research requires. Successful researchers develop expertise in their specialty areas while maintaining the broad perspective that enables interdisciplinary contribution. They must tolerate the uncertainty of research where most ideas don't work while maintaining the confidence to pursue unconventional approaches. Those who struggle often cannot handle research's inherent uncertainty or find the publish-or-perish pressure overwhelming. Others fail because they cannot communicate findings effectively or translate research into impact.
Computer science research drives the innovations that transform technology—from the algorithms that enable internet search to the machine learning that powers artificial intelligence. The field encompasses theoretical foundations, systems development, and application research across universities, corporate labs, and government agencies. Computer science researchers appear in discussions of technological innovation, academic careers, and the frontier of computing capability.
Practitioners cite the intellectual freedom to explore fundamental questions and the impact of research that shapes technology's future as primary rewards. Working on unsolved problems provides deep satisfaction. The academic environment offers intellectual stimulation. Successful research achieves lasting contribution. The work defines the future of computing. Colleagues are exceptionally capable. Common frustrations include the funding competition that dominates academic life and the pressure to produce publications regardless of research maturity. Many find the uncertain career trajectory in academia stressful. Research often fails despite significant effort. The gap between publication and real-world impact can be long.
This career requires a PhD in computer science or related field from a competitive program, often followed by postdoctoral positions before securing faculty or research scientist positions. Exceptional analytical, programming, and communication skills are essential. The role suits those who enjoy fundamental research and can handle uncertainty. It is poorly suited to those needing predictable outcomes, preferring applied work, or uncomfortable with academic politics. Compensation in industry research is exceptional; academic compensation varies but typically includes intellectual freedom and job security through tenure.
📈Career Progression
📚Education & Training
Requirements
- •Entry Education: Bachelor's degree
- •Experience: Extensive experience
- •On-the-job Training: Extensive training
- !License or certification required
Time & Cost
🤖AI Resilience Assessment
AI Resilience Assessment
Moderate human advantage with manageable automation risk
How much of this job involves tasks AI can currently perform
Likelihood that AI replaces workers vs. assists them
(BLS 2024-2034)
How much this role relies on distinctly human capabilities
💻Technology Skills
⭐Key Abilities
🏷️Also Known As
🔗Related Careers
Other careers in technology
🔗Data Sources
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