Fisheries scientist

We are looking for a fisheries scientist with data analysis and statistical modelling skills to contribute to projects related to fisheries and their environmental impacts (e.g., protected species bycatch) in New Zealand and internationally.

The ideal candidate is excited about working in fisheries and marine ecology, and is comfortable performing data analyses for fisheries problems across different contexts. You will have a strong background in statistical modelling, ideally with experience applying Bayesian methods.

Depending on experience, responsibilities in this role may include generating summaries of fisheries-related data from databases, developing statistical models of protected species bycatch, carrying out quantitative risk assessments, and conducting fisheries stock assessments.

Candidates will have an M.Sc. with some research experience, or a Ph.D. in a relevant field, such as fisheries, quantitative ecology, or statistics. We encourage applications by recent graduates, but also value relevant work experience. Māori have strong interests in New Zealand fisheries, and we encourage applicants with strong relationships with Te Ao Māori.

This role may require communication with a wide range of stakeholders, including other researchers, non-government organisations, government agencies, and industry representatives. We are looking for a thoughtful and effective communicator, who is able to make their work relevant to a broad range of audiences. Communication skills will include the ability to produce high-quality writing, including visually-striking and effective graphs.

Some of our recent fisheries projects include:

  • research on the impact of climate change on marine ecosystems,
  • estimation of marine mammal bycatch,
  • risk assessment of the impact of surface-longline fishing on seabirds,
  • developing spatial models for New Zealand pāua (abalone) fisheries,
  • assessment of the impact of fisheries on Pacific Ocean whale shark and oceanic whitetip shark.

The role is offered as a permanent position, with salary depending on experience. To apply for this position, please send a cover letter (a maximum of two pages), and a curriculum vitae to Philipp Neubauer.

Because of COVID-19, applicants must currently live and be eligible to work in New Zealand or be eligible to return to New Zealand (i.e., be a citizen or resident). Please note that a similar role was advertised before the pandemic, and we were unable to proceed. If you wish to be reconsidered, please resubmit your application.

Applications close at 12 pm on Monday, 28 September 2020.

About Dragonfly Data Science

Dragonfly Data Science is a small company engaged in a wide range of data science projects across different sectors. Our work involves different aspects of data science, from the collection of data, data preparation and validation, statistical analysis, through to communicating results to a wide range of audiences.

As a company, we aim to be at the cutting edge of data science practice, and this focus is evident in our increasingly diverse portfolio of projects. We are committed to following principles of reproducible research, applying complex data analysis methods, such as Bayesian modelling and neural network approaches. Our commitment includes the production of high-quality outputs in the form of scientific reports and publications, presentations and interactive data visualisations.

We are an inclusive and friendly company, focused on collaboration and innovation. We strive to provide a positive and supportive work environment.