Fisheries Analyst

Remote (South Africa-based) Full Time

Job Details

Key Responsibilities: • Conduct quantitative analyses of commercial fisheries data using advanced statistical methods. • Develop, document, and maintain R scripts and functions for data analysis and modelling. • Apply and interpret statistical frameworks (e.g., maximum likelihood estimation, Bayesian methods, GLMs, GAMs) in real-world fisheries contexts. • Produce scientifically rigorous outputs including reports, technical documents, and visualisations. • Communicate scientific findings to clients, stakeholders, and team members through written reports, presentations, and meetings. • Contribute to the formulation of new methods for addressing complex fisheries challenges. • Work independently on analysis tasks while collaborating closely with a broader scientific and technical team.

Requirements

Minimum Requirements: • A postgraduate degree (MSc or higher preferred) in Fisheries Science, Marine Biology, Statistics, Ecology, or a related field. • An understanding of fisheries science and related fields. • Demonstrated experience in statistical modelling and fisheries analysis. • High proficiency in R, including writing custom functions and managing large datasets. • Familiarity with Bayesian inference, maximum likelihood estimation, and model selection techniques. • Excellent written and verbal communication skills, including the ability to explain complex results to non-technical audiences. • Proven ability to work independently, manage time effectively, and deliver highquality work on schedule. • Based in South Africa, with the ability to attend occasional in-person meetings.

Contact Information

Fisheries Consultancy, OLSPS Marine



https://sancor.nrf.ac.za/Documents/OLSPS%20Marine%20-%20Fisheries%20Position.pdf

To apply: Please send your CV and a short cover letter to matt@olsps.com.

Application Deadline: Applications will be reviewed on a rolling basis until the position is filled.


Post Date: 6/13/2025 3:07:28 PM
Closing Date: 6/27/2025 12:00:00 AM