Aquaculture or Fisheries Scientist
SOC 19-1023.00 · ESCO 2131 · OSCA 244134
Role snapshot
Overview
Studies fish populations, aquatic ecosystems, and farming techniques to improve the sustainability and productivity of fisheries and aquaculture operations. Collects field data, monitors water quality, researches disease prevention, and advises on stock management, habitat restoration, and sustainable practices.
Contributes to food security, environmental conservation, and economic stability by ensuring the health and sustainability of aquatic resources and farmed seafood.
On the job
- Conduct field surveys to assess fish populations, aquatic habitats, and water quality parameters.
- Collect and analyze biological samples (e.g., fish tissue, plankton) and water samples in a laboratory setting.
- Develop and implement research projects on aquaculture techniques, fisheries management, or ecosystem health.
- Monitor fish health, identify diseases, and develop prevention and treatment strategies for farmed species.
- Prepare scientific reports, publish findings in peer-reviewed journals, and present research to diverse audiences.
Tools & technology
Average salary
Job outlook
StableDemand is steady. This is an established role with consistent hiring across sectors.
Education & training
A bachelor's or master's degree in marine biology, fisheries science, aquatic ecology, or a related field is typically required. A Ph.D. may be necessary for advanced research positions, especially for leading research or academic 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?
Many tasks involving data analysis, report generation, and predictive modeling for populations and ecosystems are highly exposed to AI capabilities.
End-to-end automation
low
Can AI complete the work without substantial human involvement?
While AI can draft reports and analyze complex datasets, designing novel research, interpreting interdisciplinary factors, and providing expert advisory cannot be fully automated.
Adoption pressure
high
How likely are employers to introduce AI into this work?
There is high pressure to adopt AI to accelerate research, gain faster insights from data, and improve the efficiency of scientific reporting.
Human dependence
strong
How much does success depend on human judgement, relationships and accountability?
Success in this role relies heavily on human judgment for experimental design, nuanced interpretation of findings, ethical considerations, and effective communication with stakeholders.
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 readily adapt by integrating advanced AI tools into research methodologies, allowing scientists to focus on higher-level problem-solving and strategic conservation efforts.
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 datasets of fish populations and water quality parameters to identify trends
- Draft sections of scientific reports and summarize research findings
- Develop predictive models for disease outbreaks or stock fluctuations
- Identify relevant scientific literature and synthesize information for research proposals
- Optimize experimental designs based on simulated outcomes
Where people remain essential
These parts continue to depend heavily on human judgement, relationships and accountability.
- Designing novel research questions and methodologies
- Conducting field surveys and collecting physical samples in challenging environments
- Interpreting complex ecological interactions and unforeseen variables
- Providing expert advice and communicating findings to policymakers or industry
- Securing funding and managing research projects
- Developing new aquaculture techniques or habitat restoration strategies
How the role may evolve
From data processing to deeper ecological insights.
The role will shift from extensive manual data processing to leveraging AI for analysis, enabling scientists to focus more on strategic research questions and complex problem-solving.
Strengthen your future fit
- Proficiency in AI-driven data analysis platforms
- Advanced ecological modeling and simulation skills
- Interdisciplinary collaboration and communication
- Strategic thinking for conservation and sustainability
- Ethical considerations in AI application
- 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
Aquaculture or Fisheries Scientist
Agriculture & Food
ADJACENT MOVES
STARTING POINTS
Who thrives here
Interest profile
investigative · IRC
People who enjoy conducting scientific investigations, working with data and systems, and engaging in hands-on observation and experimentation in aquatic environments tend to thrive in this role.
Personality characteristics
Curious
Driven by a strong desire to understand aquatic ecosystems and solve complex biological questions.
Methodical
Approaches research with systematic planning, rigorous data collection, and precise analysis.
Analytical
Excels at interpreting complex scientific data and drawing sound conclusions to inform management decisions.
Collaborative
Works effectively with research teams, stakeholders, and other scientists to achieve shared goals.
Resilient
Maintains focus and motivation when faced with research challenges, adverse field conditions, or unpredictable outcomes.
Best for
- Individuals passionate about marine life and aquatic ecosystems who want to contribute to their sustainability.
- Those who enjoy a blend of outdoor fieldwork, laboratory analysis, and intellectual research.
- Problem-solvers who can apply scientific methods to real-world environmental and food production challenges.
Watch out for
- Can involve long hours in the field or laboratory, sometimes under challenging environmental conditions.
- Requires significant attention to detail and precision, which may not suit those who prefer less structured work.
- Funding and research outcomes can be unpredictable, requiring resilience and adaptability.
A week in the life
A representative working week for an Aquaculture or Fisheries 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 Aquaculture or Fisheries Scientist roles
What does an Aquaculture or Fisheries Scientist do?
An Aquaculture or Fisheries Scientist studies fish populations, aquatic ecosystems, and farming techniques to improve the sustainability and productivity of fisheries and aquaculture operations. Collects field data, monitors water quality, researches disease prevention, and advises on stock management, habitat restoration, and sustainable practices. Contributes to food security, environmental conservation, and economic stability by ensuring the health and sustainability of aquatic resources and farmed seafood.
How much does an Aquaculture or Fisheries Scientist earn?
An Aquaculture or Fisheries Scientist earns a median of $75,000 per year in the US, typically ranging from $55,000 to $105,000.
What qualifications do you need to become an Aquaculture or Fisheries Scientist?
To become an Aquaculture or Fisheries Scientist, a bachelor's or master's degree in marine biology, fisheries science, aquatic ecology, or a related field is typically required. A Ph.D. may be necessary for advanced research positions, especially for leading research or academic roles.
What personality suits an Aquaculture or Fisheries Scientist?
Aquaculture or Fisheries Scientist roles tend to suit people who are open and curious — drawn to variety, ideas and new approaches (Openness 82/100) and highly conscientious — precise, organised and strong on follow-through (Conscientiousness 75/100). The traits that matter most in the role are Curious, Methodical, Analytical and Collaborative. Driven by a strong desire to understand aquatic ecosystems and solve complex biological questions. On interests, Aquaculture or Fisheries Scientist maps to an IRC Holland Code profile — people who enjoy conducting scientific investigations, working with data and systems, and engaging in hands-on observation and experimentation in aquatic environments tend to thrive in this role.
Who does an Aquaculture or Fisheries Scientist role suit?
An Aquaculture or Fisheries Scientist role is usually a strong fit for these reasons. Strong Investigative alignment: the role requires curiosity, systematic data collection, and scientific inquiry. High Realistic activities: involves hands-on work with equipment, field observations, and laboratory procedures. Requires Conventional traits: attention to detail, precision in data handling, and adherence to scientific protocols.
What are the downsides of being an Aquaculture or Fisheries Scientist?
Aquaculture or Fisheries Scientist roles come with trade-offs worth weighing up. Can involve long hours in the field or laboratory, sometimes under challenging environmental conditions. Requires significant attention to detail and precision, which may not suit those who prefer less structured work. Funding and research outcomes can be unpredictable, requiring resilience and adaptability.
What is the work environment like for an Aquaculture or Fisheries Scientist?
Work as an Aquaculture or Fisheries 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 59% of the week is focused deep work.
What skills do you need to be an Aquaculture or Fisheries Scientist?
Core skills for an Aquaculture or Fisheries Scientist include Data collection and analysis, Aquatic ecology and biology, Fisheries and aquaculture management, Research methodology and experimental design and Scientific writing and presentation.
How do you become an Aquaculture or Fisheries Scientist?
Common entry routes into Aquaculture or Fisheries Scientist roles include Research Assistant Aquatic Sciences, Laboratory Technician Aquaculture and Environmental Technician.
What career progression is there for an Aquaculture or Fisheries Scientist?
From an Aquaculture or Fisheries Scientist role, common next steps include Senior Aquaculture or Fisheries Scientist and Research Program Manager (Aquaculture/Fisheries); lateral moves include Environmental Consultant (Aquatic) and University Lecturer (Marine Biology).
What is the job outlook for Aquaculture or Fisheries Scientist roles?
The outlook for Aquaculture or Fisheries Scientist roles is currently rated stable. Demand is steady. This is an established role with consistent hiring across sectors.
Will AI replace Aquaculture or Fisheries Scientist roles?
Traitstack rates automation risk for Aquaculture or Fisheries Scientist roles at 53 out of 100, which is moderate. AI enhances data analysis and predictive modeling, while human expertise remains critical for research design, complex interpretation, and advising on sustainable practices. AI is most likely to take on analyze large datasets of fish populations and water quality parameters to identify trends, draft sections of scientific reports and summarize research findings and develop predictive models for disease outbreaks or stock fluctuations. Designing novel research questions and methodologies, conducting field surveys and collecting physical samples in challenging environments and interpreting complex ecological interactions and unforeseen variables stay with people. From data processing to deeper ecological insights. 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.