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Research Scientist

Remote / Online - Candidates ideally in
Halifax, Nova Scotia, Canada
Listing for: Dalhousie University
Apprenticeship/Internship, Remote/Work from Home position
Listed on 2026-06-01
Job specializations:
  • Research/Development
    Research Scientist, Biology
Job Description & How to Apply Below
Job Summary  Hosted at Dalhousie University, the new Centre of Excellence in Fisheries Science will enhance Canadian fisheries management through integrated research, innovation, and collaborative knowledge mobilization. The Centre will develop and deploy next‑generation assessment tools that enable decision‑making to account for the challenges facing our marine ecosystems, while building the capacity required to sustainably manage Canada’s marine resources for future generations and trains future fisheries scientists.

The Research Scientist will develop stock assessment models to incorporate environmental factors and be responsive to climate‑driven changes in fish populations. They will also support fisheries science and management efforts at provincial, regional, and national levels. The Centre is intended to bridge gaps and foster collaboration between all groups with an interest in the fisheries including federal agencies, industry partners, provincial regulators, Indigenous organizations, and non‑governmental organizations.

Reporting to the Centre co‑directors, the Research Scientist is expected to be an important part of this goal and will have strong collaboration skills and a willingness to work in a interdisciplinary setting.

Key Responsibilities   Develop and implement statistical models for fisheries stock assessment and related analyses.
Present and communicate results of analyses to industry, government, indigenous, and academic partners. Build and maintain these collaborative relationships.
Identify emerging research opportunities and develop innovative methodological frameworks.
Supervise and mentor postdoctoral fellows, graduate students, research assistants, and technical staff.
Note  The successful applicant will be eligible for hybrid work (combination of in‑person work on campus and remote work from within Nova Scotia) as agreed by all parties based on operational requirements and university guidelines.

Required Qualifications   PhD in statistics, mathematics, fisheries science, or other related field, with six years of research experience (or an equivalent combination of training and experience).
Demonstrated expertise in R, including the use of TMB (Template Model Builder)/RTMB.
Demonstrated ability to collaborate with academic and non‑academic partners.

Experience with the following: spatio‑temporal statistics, Bayesian hierarchical modelling, fisheries stock assessment modelling, fisheries dependent and fisheries independent data, oceanographic and other environmental data.
Experience training students and/or professionals in the use of stock assessment models and associated tools.
Assets   Demonstrated ability to prepare and publish peer‑reviewed scientific publications and technical reports.
Job Competencies   Respect & Inclusion
Adaptability
Knowledge & Thinking Skills
Communication
Service
Additional Information  Dalhousie University supports a healthy and balanced lifestyle. Our total compensation package includes a voluntary RRSP, health and dental plans, a wellness allowance, an employee and family assistance program and a tuition assistance program.
Diversity Statement  Dalhousie University commits to achieving inclusive excellence through continually championing equity, diversity, inclusion, and accessibility. The university encourages applications from Indigenous Peoples of Turtle Island (especially Mi’kmaq), persons of Black/African descent (especially African Nova Scotians), and members of other racialized groups, persons with disabilities, women, persons identifying as members of 2

SLGBTQIA+ communities, and all candidates who would contribute to the diversity of our community. In accordance with our Employment Equity Policy, preference will be given in hiring processes to candidates who self‑identify as members of one or more of the equity‑deserving groups listed above.

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