Aquatic Research Scientist: Trials, Data & Insights

Randstad Enterprise

Waltham on the Wolds

On-site

GBP 65,000 - 90,000

Full time

12 days ago
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Job summary

Randstad Enterprise seeks a scientist to develop, resource and manage internal and external fish care research projects. You will oversee trial approvals, analyse complex biological data, and translate findings into actionable business insights and peer‑reviewed publications.

The role requires designing and executing trials, strong R-based statistical analysis, and the ability to communicate complex results to non‑technical stakeholders.

Qualifications

  • PhD in Marine Biology, Fish/Animal Biology, Physiology, Welfare, Ecology or related field.
  • Proven ability to design and run scientific trials with robust statistics.
  • Strong statistical analysis skills, especially in R, and effect neutral interpretation.
  • Experience leading research projects and coordinating trial approvals with partners.
  • Excellent written and spoken communication for publishing and internal guidance.

Responsibilities

  • Initiate and manage internal lab-based and external collaborative fish care research trials.
  • Perform rigorous data analysis on trial data to inform product development.
  • Draft internal reports and publish findings in peer-reviewed venues as needed.
  • Provide scientific support to the broader petcare business and present at conferences.
  • Coordinate resources, timelines and budgets for project execution.

Skills

Data analysis
R programming
Project leadership
Scientific communication
Aquatic husbandry
Trials design
Stakeholder communication

Education

PhD in Marine Biology or related field

Tools

R

Job description

Randstad Enterprise seeks a scientist to develop, resource and manage internal and external fish care research projects. You will oversee trial approvals, analyse complex biological data, and translate findings into actionable business insights and peer‑reviewed publications.

The role requires designing and executing trials, strong R-based statistical analysis, and the ability to communicate complex results to non‑technical stakeholders.

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