Research & Academia

Computer and Information Research Scientist

SOC 15-1221.00 · ESCO 2133 · OSCA 244432

REA INV ART SOC ENT CON This role See your match →

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
Computer and Information Research Scientist at work

Tools & technology

PythonRTensorFlowPyTorchC++Jupyter Notebooks

Average salary

$136K
MEDIAN SALARY Annual · USD
$100K Bottom 10%
$180K Top 10%

Job outlook

Excellent

New 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.

Career pathways

WHERE YOU COULD GO

Lead Research Scientist
University Professor (Computer Science)

CURRENT ROLE

Computer and Information Research Scientist

Research & Academia

ADJACENT MOVES

AI/ML Engineer
Data Scientist
Phd Student Computer Science
Postdoctoral Researcher
Machine Learning Engineer

STARTING POINTS

Who thrives here

Interest profile

I

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.

8am9am10am11am12pm1pm2pm3pm4pm5pm6pm
Mon
Literature review and research planning
Team research sync meeting
Algorithm development and coding
Tue
Experiment design and data collection setup
Data analysis and interpretation
Mentor junior researchers
Wed
Writing research paper section
Research group seminar
Code review and collaboration with colleagues
Thu
Statistical modeling and simulation
Prepare presentation for conference
Independent research project work
Fri
Reviewing peer research papers
Project planning and next steps
Administrative tasks and email correspondence
Deep work Meeting External Social Admin

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