Join Our Team at Proteus!

Are you a skilled statistician or quantitative ecologist with a passion for applying statistical methods to ecological and environmental data? Proteus is a globally recognised statistical consulting company specialising in ecological and wildlife applications. We work on diverse projects across various species and ecosystems worldwide, and we’re looking for a motivated Biometrician/Ecological Statistician to join our team at Invermay Agricultural Research Centre, near Dunedin, NZ.

What You’ll Do

• Conduct robust statistical analysis to provide accurate results for clients
• Offer expert advice on study design and ecological data analysis
• Communicate findings effectively through reports, presentations, and direct client engagement
• Work independently and lead project teams when needed
• Contribute to the company’s growth and innovation in ecological statistics

What We’re Looking For

Essential Skills & Experience:

• PhD (or equivalent experience) in statistics or quantitative ecology, with at least 5 years post-qualification experience in a consulting-like environment.
• Strong statistical background in GLM-type analyses, mark-recapture, distance sampling, and/or occupancy modelling
• Proficiency in R for data analysis and visualisation
• Solid grasp of sampling theory and its practical application
• Excellent written and verbal communication skills
• Ability to explain complex results to non-specialists
• Experience with RMarkdown for documentation
• Self-motivated, client-focused, and eager to learn

Bonus Skills:

• Experience leading project teams
• Experience with Bayesian inference and simulation studies

Why Work With Us?

• Work on impactful ecological and wildlife projects worldwide
• Be part of a growing, highly respected statistical consulting company
• Enjoy a flexible and supportive work environment (remote work considered)
• Contribute to meaningful research and conservation efforts

How to Apply

Please apply via Seek if you are interested. Applications will close 3 April 2025, however shortlisting will commence immediately.

If you have any questions, or would like further information, please contact Claire Hogue at claire@loganhr.co.nz