Research Scientist
SOC 19-1042.00 · ESCO 2110 · OSCA 234531
Role snapshot
Overview
A Research Scientist designs and conducts experiments, collects and analyzes data, and interprets results to advance knowledge in a specific scientific or technical field. They are responsible for developing research methodologies, writing grant proposals, publishing findings in peer-reviewed journals, and presenting at conferences. This role often involves extensive time in laboratories, using specialized equipment, or working with complex computational models and statistical software.
Drives scientific discovery and technological innovation, contributing to new treatments, products, theories, and a deeper understanding of the natural world and human society.
On the job
- Design and execute complex experiments following rigorous scientific methodologies.
- Collect, analyze, and interpret large datasets using advanced statistical and computational tools.
- Prepare and submit grant proposals to secure funding for research projects.
- Write and publish scientific papers in peer-reviewed journals and present findings at conferences.
- Collaborate with interdisciplinary teams and mentor junior researchers or students.
Tools & technology
Average salary
Job outlook
StableDemand is steady. This is an established role with consistent hiring across sectors.
Education & training
A Master's or Doctoral degree in a relevant scientific discipline is typically required for research scientist roles, often followed by post-doctoral research.
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
moderate
How much of the role’s important work could AI perform?
Data collection, analysis, and routine experimental execution are significantly exposed to AI automation and assistance.
End-to-end automation
low
Can AI complete the work without substantial human involvement?
Designing novel experiments, interpreting unexpected results, and generating scientific hypotheses are creative processes that resist full end-to-end automation.
Adoption pressure
high
How likely are employers to introduce AI into this work?
High in industries driven by efficiency and throughput (e.g., biotech, pharma), moderate in fundamental research where AI primarily serves as an assistant.
Human dependence
moderate
How much does success depend on human judgement, relationships and accountability?
Success in this role depends heavily on human creativity for experimental design, critical thinking for data interpretation, and collaborative problem-solving.
Protective — a higher rating lowers the overall score.
Role adaptability
strong
How easily can the role evolve as AI takes on more tasks?
The research environment is dynamic, requiring constant adaptation to new scientific questions, methodologies, and technological advancements.
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.
- Automate complex data collection from lab equipment
- Analyze large datasets using advanced statistical and computational tools
- Perform literature reviews and synthesize existing research
- Optimize experimental parameters for efficiency
- Draft sections of research papers and grant proposals
Where people remain essential
These parts continue to depend heavily on human judgement, relationships and accountability.
- Design novel and complex experiments to test hypotheses
- Interpret unexpected or ambiguous data to draw new conclusions
- Develop new research methodologies and scientific approaches
- Troubleshoot experimental failures and refine protocols
- Collaborate effectively with interdisciplinary teams
- Secure funding through compelling grant applications
How the role may evolve
Accelerated lab work, intensified scientific design.
Research scientists will move away from repetitive lab tasks and initial data processing, focusing instead on the strategic design of experiments, high-level data interpretation, and fostering scientific breakthroughs.
Strengthen your future fit
- Proficiency in AI/ML tools for data analysis and visualization
- Expertise in complex experimental design and troubleshooting
- Strong critical thinking for nuanced scientific interpretation
- Effective communication for collaboration and publication
- 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
Research Scientist
Research & Academia
ADJACENT MOVES
STARTING POINTS
Who thrives here
Interest profile
investigative · IRC
Individuals who thrive on intellectual challenge, systematic investigation, and hands-on experimentation, meticulously analyzing data to uncover new truths, are well-suited for this role.
Personality characteristics
Curious
Possesses a strong drive to explore complex phenomena and generate new knowledge through inquiry.
Meticulous
Exhibits high attention to detail in experimental design, data collection, and analysis, ensuring accuracy and reproducibility.
Focused
Capable of sustained concentration on intricate problems and long-term research projects, often working independently.
Collaborative
Works effectively with team members, sharing ideas and contributing to a shared scientific goal.
Resilient
Maintains perseverance and optimism when facing experimental failures, inconclusive results, or grant rejections.
Best for
- Individuals passionate about expanding the boundaries of knowledge and contributing to scientific advancement.
- Those who enjoy systematic problem-solving, meticulous data analysis, and hands-on experimental work.
- People who are self-motivated, intellectually curious, and thrive in environments requiring critical thinking and perseverance.
Watch out for
- The work can involve long hours, especially during critical experimental phases or nearing publication deadlines.
- Grant writing and securing funding can be a competitive and often frustrating process.
- Research often involves setbacks and unexpected results, requiring significant resilience and problem-solving.
A week in the life
A representative working week for a 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 Research Scientist roles
What does a Research Scientist do?
A Research Scientist a Research Scientist designs and conducts experiments, collects and analyzes data, and interprets results to advance knowledge in a specific scientific or technical field. They are responsible for developing research methodologies, writing grant proposals, publishing findings in peer-reviewed journals, and presenting at conferences. This role often involves extensive time in laboratories, using specialized equipment, or working with complex computational models and statistical software. Drives scientific discovery and technological innovation, contributing to new treatments, products, theories, and a deeper understanding of the natural world and human society.
How much does a Research Scientist earn?
A Research Scientist earns a median of $115,000 per year in the US, typically ranging from $75,000 to $170,000.
What qualifications do you need to become a Research Scientist?
To become a Research Scientist, a Master's or Doctoral degree in a relevant scientific discipline is typically required for research scientist roles, often followed by post-doctoral research.
What personality suits a Research Scientist?
Research Scientist roles tend to suit people who are open and curious — drawn to variety, ideas and new approaches (Openness 90/100) and highly conscientious — precise, organised and strong on follow-through (Conscientiousness 80/100). The traits that matter most in the role are Curious, Meticulous, Focused and Collaborative. Possesses a strong drive to explore complex phenomena and generate new knowledge through inquiry. On interests, Research Scientist maps to an IRC Holland Code profile — individuals who thrive on intellectual challenge, systematic investigation, and hands-on experimentation, meticulously analyzing data to uncover new truths, are well-suited for this role.
Who does a Research Scientist role suit?
A Research Scientist role is usually a strong fit for these reasons. High Investigative (I) and Realistic (R) alignment, reflecting a strong interest in scientific inquiry and hands-on experimentation. The role rewards high Openness and Conscientiousness, crucial for discovery and rigorous methodology. A significant portion of the week is dedicated to deep work, ideal for focused intellectual pursuits.
What are the downsides of being a Research Scientist?
Research Scientist roles come with trade-offs worth weighing up. The work can involve long hours, especially during critical experimental phases or nearing publication deadlines. Grant writing and securing funding can be a competitive and often frustrating process. Research often involves setbacks and unexpected results, requiring significant resilience and problem-solving.
What is the work environment like for a Research Scientist?
Work as a Research Scientist is mostly mixed-based with hybrid arrangements common, semi-structured — a mix of set processes and self-directed work, a moderate pace and medium exposure to clients or stakeholders. Around 65% of the week is focused deep work.
What skills do you need to be a Research Scientist?
Core skills for a Research Scientist include Experimental design, Data analysis and interpretation, Scientific writing, Research methodology and Critical thinking and problem-solving.
How do you become a Research Scientist?
Common entry routes into Research Scientist roles include Postdoctoral Researcher, Research Assistant and Phd Student.
What career progression is there for a Research Scientist?
From a Research Scientist role, common next steps include Senior Research Scientist, Principal Investigator and University Professor; lateral moves include Data Scientist and Scientific Editor.
What is the job outlook for Research Scientist roles?
The outlook for Research Scientist roles is currently rated stable. Demand is steady. This is an established role with consistent hiring across sectors.
Will AI replace Research Scientist roles?
Traitstack rates automation risk for Research Scientist roles at 53 out of 100, which is moderate. Routine experimental execution and data analysis are becoming more automated, allowing research scientists to dedicate more time to designing innovative studies and interpreting complex results. AI is most likely to take on automate complex data collection from lab equipment, analyze large datasets using advanced statistical and computational tools and perform literature reviews and synthesize existing research. Design novel and complex experiments to test hypotheses, interpret unexpected or ambiguous data to draw new conclusions and develop new research methodologies and scientific approaches stay with people. Accelerated lab work, intensified scientific design. 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.