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Title  

Principal Marine Ecology Statistician

Reference     (Please mention Stopdodo/Environment Jobs in your application)
Sectors   Conservation & Ecology
Location   UK - Flexible - UK
Type   Fixed Term and Permanent Roles
Status   Full Time
Level   Senior Level
Company Name   APEM
Contact Name  
Website   Further Details / Applications
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Description  

Do you have a statistical background in ecology (preferably marine) and data modelling/interpretation?  Are you fully competent and fluent in data interpretation and statistical analysis, including the use of relevant software (R & QGIS)? APEM Group are looking for a Principal Marine Ecology Statistician to join our team!

As a Principal Marine Ecology Statistician, you will provide support and technical knowledge around data analysis and workflows, creating innovative data solutions using technical expertise (e.g. including writing scripts/code in Python/R/SQL/QGIS) to streamline and manage processes efficiently. Working alongside internal project managers, you will analyse and interpret of ornithological and marine mammal data, including attending client/stakeholder meetings where required. You will also contribute to mentoring and upskilling of consultants across MWS where required to do so, as well as line management of junior technical staff.

Over time, you will be able to confidently communicate methods used for aerial digital surveys to stakeholders, having built a thorough understanding of aerial digital surveys through the management and maintenance of data workflow processes. Through your knowledge of delivery methodology for the MWS team and industry standards, you will be able to identify where improvements or innovations can be made, and you will be able to collaborate with the relevant teams within APEM to provide success on these ideas.  

You will have:

  • Postgraduate degree with applied data science or statistics component
  • Experience modelling ecological data; knowledge and experience of a range of statistical methodologies relevant to the analysis of ecological data and can demonstrate ability to adapt/apply them to address specific scientific questions
  • Extensive background in ecology/marine wildlife
  • Numerically literate and proficient in writing and data handling
  • Excellent Microsoft Excel and Word skills
  • Excellent data management and analysis skills
  • Experience handling spatial data
  • Excellent communication skills
  • To be able to work in high-pressure situations and be reactive to competing and changing demands.
  • To be able to deliver presentations to internal and external audiences
  • Experience using statistical programming software including R, QGIS. Able to write and amend R code for statistical analysis
  • Experience leading teams and developing people

You will be offered the chance to work on a variety of projects, many of our employees have worked on projects that have been of personal interest to them. We match this with a commitment to continuous development and learning to support your career. We also offer benefits to look after you, from private medical insurance for all employees, access to mental health first aiders and comprehensive income protection if you cannot work. We also offer superb flexible working options, balancing work with your life.

Next steps

We are focused on creating a diverse and inclusive team. If you can’t tick every box on our job description, then we are still keen to hear from you and are open to supporting your development. That may be working part time or supporting you to gain experience in a specific area – we are a growing company and are able to adapt roles to reflect individual skills.

If you think you have what it takes to join our fast-growing business, then please apply immediately on our website. All we need some basic information and your CV, we will review all applications quickly and will respond to all applications.

Apply for this position

Please use the contact details above to apply for this position.
Don't forget to mention Stopdodo/Environment Jobs in your application.

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