Agriculture & Food

Plant Scientist

SOC 19-1013.00 · ESCO 2131 · OSCA 244531

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

Role snapshot

Overview

Researches plant genetics, growth, and diseases to develop improved crop varieties, sustainable farming practices, and pest-management strategies. Plant Scientists conduct field trials and laboratory experiments, then analyse data to publish findings, contributing to food security, environmental sustainability, and agricultural innovation.

Contributes to global food security, develops more resilient and productive crops, and promotes sustainable agricultural practices that benefit both the environment and economy.

On the job

  • Design and execute controlled experiments in laboratories and field settings to study plant growth, development, and responses to environmental factors.
  • Analyse plant genetic material, identify desirable traits, and develop new crop varieties with enhanced yield, disease resistance, or nutritional value.
  • Monitor and diagnose plant diseases and pests, developing integrated pest management strategies to protect crops.
  • Collect and interpret complex data from experiments, using statistical software and scientific methodologies.
  • Write scientific papers, reports, and presentations to disseminate research findings to scientific communities, farmers, and policymakers.
Plant Scientist at work

Tools & technology

Laboratory equipment (e.g., PCR machines, spectrophotometers)Statistical analysis software (e.g., R, SAS, JMP)Geographic Information Systems (GIS) for field mappingGreenhouse and field trial management systemsMicroscopes and imaging software

Average salary

$85K
MEDIAN SALARY Annual · USD
$65K Bottom 10%
$120K Top 10%

Job outlook

Stable

Demand is steady. This is an established role with consistent hiring across sectors.

Education & training

Bachelor's or Master's degree in Plant Science, Agronomy, Botany, or a related field. A Ph.D. is often required for research-intensive roles.

AI impact outlook

AI excels at data analysis and pattern recognition in complex biological datasets, while experimental design, ethical interpretation, and scientific discourse remain human-led.

Note — this is our current view. AI is moving fast, so we revisit these ratings.

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Why this role received this rating

Core task exposure

high

How much of the role’s important work could AI perform?

AI can significantly assist with data analysis, pattern recognition in genetic sequences, and literature review for experimental design.

End-to-end automation

low

Can AI complete the work without substantial human involvement?

While AI can generate hypotheses and analyze large datasets, the design of novel experiments, interpretation of unexpected results, and the full scientific discourse require human insight.

Adoption pressure

high

How likely are employers to introduce AI into this work?

The potential to accelerate research and development in agriculture provides a strong incentive for adopting AI tools, tempered by the need for scientific validation.

Human dependence

strong

How much does success depend on human judgement, relationships and accountability?

Success in this role relies heavily on human creativity in experimental design, critical interpretation of complex biological systems, and the ability to articulate and publish new scientific understanding.

Protective — a higher rating lowers the overall score.

Role adaptability

strong

How easily can the role evolve as AI takes on more tasks?

The nature of scientific inquiry demands constant adaptation to new discoveries, methodologies, and societal challenges, making this role highly adaptable.

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.

  • Analyzing large-scale genomic data to identify desirable plant traits
  • Predicting plant disease outbreaks based on environmental data and imagery
  • Optimizing experimental parameters and suggesting new hypotheses
  • Automating literature reviews and synthesizing research findings
  • Interpreting statistical results from field trials

Where people remain essential

These parts continue to depend heavily on human judgement, relationships and accountability.

  • Designing novel experiments to test complex biological questions
  • Interpreting unexpected or ambiguous research findings
  • Making ethical decisions related to genetic modification and environmental impact
  • Communicating complex scientific concepts to diverse audiences
  • Securing research funding and managing project teams
  • Developing integrated pest management strategies tailored to specific contexts

How the role may evolve

Guiding AI to generate insights, rather than manually crunching data.

The role will shift from primarily performing data analysis to orchestrating AI tools for insight generation, requiring deeper critical thinking and scientific direction. Time spent on routine data processing will decrease, allowing for more focus on novel research questions and strategic application of findings.

Strengthen your future fit

  • Proficiency in advanced statistical and AI tools for biological data
  • Strong critical thinking and problem-solving for novel scientific challenges
  • Effective communication of complex scientific findings to non-specialists
  • Interdisciplinary collaboration with data scientists and engineers
  • Ethical understanding of AI applications in biotechnology
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

Senior Plant Scientist
Research Director (Agriculture)

CURRENT ROLE

Plant Scientist

Agriculture & Food

ADJACENT MOVES

Agricultural Consultant
University Researcher (Botany/Agronomy)
Research Assistant Plant Science
Lab Technician Botany
Graduate Student Plant Science

STARTING POINTS

Who thrives here

Interest profile

I

investigative · IRC

Individuals who enjoy systematic investigation, hands-on scientific work, and organised data analysis thrive in this role, contributing to advancements in agriculture and plant biology.

Personality characteristics

Observant

Possesses a keen eye for detail when monitoring plant health, identifying subtle changes, and interpreting experimental results.

Methodical

Approaches research with systematic planning, precise execution of experiments, and meticulous data collection and analysis.

Resilient

Maintains composure and persistence when experiments don't yield expected results or when facing challenges in field conditions.

Collaborative

Works effectively with research teams, sharing insights and contributing to collective scientific goals.

Practical

Enjoys applying scientific knowledge to real-world agricultural problems and seeing tangible improvements in crop development.

Best for

  • Individuals who are driven by scientific discovery and improving real-world agricultural outcomes.
  • Those who enjoy a mix of laboratory work, outdoor field research, and analytical problem-solving.
  • People who thrive in structured research environments with a focus on data-driven results.

Watch out for

  • Requires significant patience and persistence, as research can be a long and iterative process with unpredictable outcomes.
  • Fieldwork may involve exposure to various weather conditions and physically demanding tasks.

A week in the life

A representative working week for a Plant Scientist — where the deep work, meetings, and admin actually land.

8am9am10am11am12pm1pm2pm3pm4pm5pm6pm
Mon
Team Standup & Planning
Lab Experiment Setup / Sample Processing
Data Entry & Initial Analysis
Tue
Deep Dive Data Analysis (Statistical Software)
Literature Review & Research Strategy
Collaboration with Geneticist
Wed
Field Trial Visit (Plant Health Assessment, Sample Collection)
Greenhouse Monitoring & Plant Care
Project Progress Meeting
Thu
Scientific Writing (Drafting Research Paper)
Peer Review & Feedback Session
Lab Work (Microscopy, Advanced Testing)
Fri
Experiment Design & Protocol Development
Data Interpretation & Discussion
Professional Development / Seminar
Report Preparation & Administrative Tasks
Deep work Meeting External Social Admin

Real people. Real results.

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Rating
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Frequently asked questions about Plant Scientist roles

What does a Plant Scientist do?

A Plant Scientist researches plant genetics, growth, and diseases to develop improved crop varieties, sustainable farming practices, and pest-management strategies. Plant Scientists conduct field trials and laboratory experiments, then analyse data to publish findings, contributing to food security, environmental sustainability, and agricultural innovation. Contributes to global food security, develops more resilient and productive crops, and promotes sustainable agricultural practices that benefit both the environment and economy.

How much does a Plant Scientist earn?

A Plant Scientist earns a median of $85,000 per year in the US, typically ranging from $65,000 to $120,000.

What qualifications do you need to become a Plant Scientist?

To become a Plant Scientist, bachelor's or Master's degree in Plant Science, Agronomy, Botany, or a related field. A Ph.D. is often required for research-intensive roles.

What personality suits a Plant Scientist?

Plant Scientist roles tend to suit people who are highly conscientious — precise, organised and strong on follow-through (Conscientiousness 80/100) and open and curious — drawn to variety, ideas and new approaches (Openness 75/100). The traits that matter most in the role are Observant, Methodical, Resilient and Collaborative. Possesses a keen eye for detail when monitoring plant health, identifying subtle changes, and interpreting experimental results. On interests, Plant Scientist maps to an IRC Holland Code profile — individuals who enjoy systematic investigation, hands-on scientific work, and organised data analysis thrive in this role, contributing to advancements in agriculture and plant biology.

Who does a Plant Scientist role suit?

A Plant Scientist role is usually a strong fit for these reasons. High Investigative affinity: the core of the role involves systematic research, data analysis, and problem-solving. Significant Realistic component: hands-on work in labs and field settings is central to daily activities. Values precision and structure: the Conventional aspect supports meticulous experimental design and data reporting.

What are the downsides of being a Plant Scientist?

Plant Scientist roles come with trade-offs worth weighing up. Requires significant patience and persistence, as research can be a long and iterative process with unpredictable outcomes. Fieldwork may involve exposure to various weather conditions and physically demanding tasks.

What is the work environment like for a Plant Scientist?

Work as a Plant 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 68% of the week is focused deep work.

What skills do you need to be a Plant Scientist?

Core skills for a Plant Scientist include Experimental design and execution, Data analysis and interpretation, Plant genetics and breeding, Pathology and pest management and Scientific writing and communication.

How do you become a Plant Scientist?

Common entry routes into Plant Scientist roles include Research Assistant Plant Science, Lab Technician Botany and Graduate Student Plant Science.

What career progression is there for a Plant Scientist?

From a Plant Scientist role, common next steps include Senior Plant Scientist and Research Director (Agriculture); lateral moves include Agricultural Consultant and University Researcher (Botany/Agronomy).

What is the job outlook for Plant Scientist roles?

The outlook for Plant Scientist roles is currently rated stable. Demand is steady. This is an established role with consistent hiring across sectors.

Will AI replace Plant Scientist roles?

Traitstack rates automation risk for Plant Scientist roles at 55 out of 100, which is moderate. AI excels at data analysis and pattern recognition in complex biological datasets, while experimental design, ethical interpretation, and scientific discourse remain human-led. AI is most likely to take on analyzing large-scale genomic data to identify desirable plant traits, predicting plant disease outbreaks based on environmental data and imagery and optimizing experimental parameters and suggesting new hypotheses. Designing novel experiments to test complex biological questions, interpreting unexpected or ambiguous research findings and making ethical decisions related to genetic modification and environmental impact stay with people. Guiding AI to generate insights, rather than manually crunching data. 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.