Biologist
SOC 19-1029.04 · ESCO 2131 · OSCA 244534
Role snapshot
Overview
Studies living organisms and ecosystems through fieldwork, laboratory experiments, and data analysis to understand life processes. Biologists conduct research ranging from cell biology and genetics to wildlife conservation and environmental science. They publish their findings, contribute to scientific knowledge, and may advise on environmental policy or public health initiatives.
Contributes to fundamental scientific understanding of life, informs conservation efforts, develops new medical treatments, and addresses global challenges like climate change and food security.
On the job
- Design and conduct scientific experiments in laboratory or field settings.
- Collect and analyze biological data using statistical software and specialized equipment.
- Prepare detailed reports, research papers, and presentations on findings.
- Collaborate with other scientists, researchers, and technical staff.
- Maintain laboratory equipment and ensure compliance with safety protocols.
Tools & technology
Average salary
Job outlook
GrowingJob growth is expected to be above average over the next five years.
Education & training
A bachelor's degree in a biological science is typically required for entry-level positions, while a master's or Ph.D. is often needed for advanced research roles.
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?
A significant portion of data analysis, experimental design, and literature review can be automated, but hands-on lab work and fieldwork remain less exposed to AI.
End-to-end automation
low
Can AI complete the work without substantial human involvement?
While specific analytical workflows can be fully automated, the full research cycle from hypothesis to publication requires human judgment and physical execution.
Adoption pressure
high
How likely are employers to introduce AI into this work?
The potential for AI to accelerate research and reduce data processing bottlenecks drives high employer adoption for tasks like genomics analysis and microscopy image processing.
Human dependence
strong
How much does success depend on human judgement, relationships and accountability?
Success in this role heavily relies on human judgment for interpreting complex biological results, designing novel experiments, and collaborating across scientific disciplines.
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 can adapt by shifting focus from routine data processing and initial experimental setup to more complex problem-solving, hypothesis generation, and interdisciplinary collaboration.
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.
- Analyze large genomic and proteomic datasets for patterns
- Automate image analysis from microscopes for cell counting or anomaly detection
- Suggest experimental designs and optimize parameters based on existing literature
- Draft initial sections of research papers and literature reviews
- Identify novel drug targets or biological pathways from vast datasets
- Manage and query laboratory information management systems (LIMS)
Where people remain essential
These parts continue to depend heavily on human judgement, relationships and accountability.
- Designing truly novel experiments and forming new hypotheses
- Executing complex hands-on laboratory procedures and fieldwork
- Interpreting nuanced and unexpected experimental results
- Ensuring ethical considerations in biological research
- Collaborating with diverse scientific teams and communicating findings
- Securing research funding and managing projects
How the role may evolve
Less time on routine data processing. More on novel discovery and interpretation.
The role will shift towards higher-level cognitive tasks, with AI handling much of the data crunching and initial analysis, demanding greater interpretive and strategic skills from biologists.
Strengthen your future fit
- Proficiency in advanced statistical and bioinformatics tools
- Expertise in experimental design and hypothesis generation
- Critical thinking and nuanced interpretation of AI-generated insights
- Strong communication and interdisciplinary collaboration skills
- Understanding of ethical implications in AI-assisted research
- 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
Biologist
Research & Academia
ADJACENT MOVES
STARTING POINTS
Who thrives here
Interest profile
investigative · ICR
Individuals who enjoy systematic investigation, conducting experiments, analyzing data, and working with tangible biological systems in a structured way often thrive as Biologists.
Personality characteristics
Curious
Driven by a deep desire to understand the natural world and how living systems function.
Meticulous
Highly organized and precise in experimental design, data collection, and lab procedures to ensure accuracy.
Analytical
Enjoys systematically breaking down complex problems and interpreting scientific data to draw conclusions.
Collaborative
Willing to share knowledge, work with a team, and incorporate feedback from peers to advance research.
Resilient
Handles experimental setbacks and unexpected results with objectivity, adapting strategies without becoming easily discouraged.
Best for
- Individuals passionate about scientific discovery and understanding biological phenomena.
- Those who enjoy meticulous experimental work, data analysis, and scientific writing.
- People who thrive in both independent research and collaborative team environments.
Watch out for
- Research can be repetitive, with experiments often requiring multiple iterations or controls.
- The pace can sometimes be slow, with results taking time to materialize, requiring patience.
A week in the life
A representative working week for a Biologist — where the deep work, meetings, and admin actually land.
Real people. Real results.
Thousands of people
can't be wrong.
Similar roles
Frequently asked questions about Biologist roles
What does a Biologist do?
A Biologist studies living organisms and ecosystems through fieldwork, laboratory experiments, and data analysis to understand life processes. Biologists conduct research ranging from cell biology and genetics to wildlife conservation and environmental science. They publish their findings, contribute to scientific knowledge, and may advise on environmental policy or public health initiatives. Contributes to fundamental scientific understanding of life, informs conservation efforts, develops new medical treatments, and addresses global challenges like climate change and food security.
How much does a Biologist earn?
A Biologist earns a median of $85,000 per year in the US, typically ranging from $62,000 to $125,000.
What qualifications do you need to become a Biologist?
To become a Biologist, a bachelor's degree in a biological science is typically required for entry-level positions, while a master's or Ph.D. is often needed for advanced research roles.
What personality suits a Biologist?
Biologist roles tend to suit people who are highly conscientious — precise, organised and strong on follow-through (Conscientiousness 82/100) and open and curious — drawn to variety, ideas and new approaches (Openness 78/100). The traits that matter most in the role are Curious, Meticulous, Analytical and Collaborative. Driven by a deep desire to understand the natural world and how living systems function. On interests, Biologist maps to an ICR Holland Code profile — individuals who enjoy systematic investigation, conducting experiments, analyzing data, and working with tangible biological systems in a structured way often thrive as Biologists.
Who does a Biologist role suit?
A Biologist role is usually a strong fit for these reasons. High Investigative (I) and Conventional (C) scores align with the systematic research and data analysis involved. The role offers substantial deep work for focused experimentation and scientific inquiry. Opportunities for both laboratory and fieldwork appeal to those with Realistic (R) interests.
What are the downsides of being a Biologist?
Biologist roles come with trade-offs worth weighing up. Research can be repetitive, with experiments often requiring multiple iterations or controls. The pace can sometimes be slow, with results taking time to materialize, requiring patience.
What is the work environment like for a Biologist?
Work as a Biologist 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 72% of the week is focused deep work.
What skills do you need to be a Biologist?
Core skills for a Biologist include Experimental design, Data analysis and interpretation, Scientific writing and communication, Laboratory techniques, Fieldwork and sample collection and Problem-solving.
How do you become a Biologist?
Common entry routes into Biologist roles include Research Assistant, Laboratory Technician and Field Technician.
What career progression is there for a Biologist?
From a Biologist role, common next steps include Senior Biologist and Research Director; lateral moves include Environmental Scientist and Biochemist.
What is the job outlook for Biologist roles?
The outlook for Biologist roles is currently rated growing. Job growth is expected to be above average over the next five years.
Will AI replace Biologist roles?
Traitstack rates automation risk for Biologist roles at 51 out of 100, which is moderate. AI can dramatically improve data analysis and experimental design, allowing biologists to focus more on novel hypothesis generation, lab execution, and interpreting complex results. AI is most likely to take on analyze large genomic and proteomic datasets for patterns, automate image analysis from microscopes for cell counting or anomaly detection and suggest experimental designs and optimize parameters based on existing literature. Designing truly novel experiments and forming new hypotheses, executing complex hands-on laboratory procedures and fieldwork and interpreting nuanced and unexpected experimental results stay with people. Less time on routine data processing. More on novel discovery and interpretation. 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.