Statistician/Modeller in Ecology and Environmental Science

Are you passionate about applying your quantitative skills to tackle pressing environmental and ecological challenges? BioSS (Biomathematics and Statistics Scotland) is looking for an innovative and motivated early-career statistician or quantitative modeler to join our ecology and environmental sciences team.

This permanent post is an excellent long-term career opportunity for a suitably qualified statistician or quantitative scientist, offering a stimulating route to building a comprehensive portfolio of statistical experience and expertise in a stimulating, supportive environment while making a tangible impact on ecological and environmental science! You’ll play a key role in developing and applying cutting-edge statistical and modelling approaches in ecology and environmental science. You’ll interact with other quantitative experts across and beyond BioSS, including collaborating closely with applied scientists from leading UK research institutions such as Forest Research (https://www.forestresearch.gov.uk), UKCEH (https://www.ceh.ac.uk/), and the SEFARI institutes (https://sefari.scot). We offer time for personal research and opportunities to contribute to externally funded projects (e.g. UKRI) alongside other BioSS staff and with our collaborators.

At BioSS, you’ll be part of a forward-thinking, diverse and supportive team of over 50 staff and students working across multiple statistics and modelling disciplines, collaborating on applications in plant & crop science, animal health & welfare, environmental science & ecology, and human health & nutrition. We value collaboration, innovation, and the continuous development of our team members: we’ve been awarded Investors in People Gold Status since 2019. This permanent position based in Aberdeen, but with the flexibility to work from BioSS locations in Dundee or Edinburgh, or remotely from home.

Benefits offered

• 35 hour working week.
• Annual Leave: Generous entitlement of up to 40.5 days a year.
• Pension: Employer Contribution of 15% of salary into a Personal Pension Plan.
• Self-managed hours and Flexible Working: options to structure your working time, in line with organisational needs, to define a healthy work life balance.
• Generous annual time allocation to support your personal development as a scientist.
• Employee Assistance Programme: A confidential service available to support employees and their families with work or personal problems. 

Potential applicants may contact Dr Nick Schurch (nick.schurch@bioss.ac.uk), in confidence, to discuss this position.

Applications should be made using the recruitment pages operated by our parent organization, The James Hutton Institute via the 'Apply' button above. 

We will not consider the use of 3rd party recruitment agencies for the sourcing of candidates for this position, and we do not use AI software as part of our candidate assessment or CV sifting.

The James Hutton Institute is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.  We encourage applications from underrepresented groups in STEM, particularly women, BAME and LGBTQ+. The James Hutton Institute is a: Stonewall Diversity Champion; Athena SWAN Bronze Status Holder; Disability Confident Committed Employer and Living Wage Employer.

Closing Date:  28th October 2024 at 09:00

Interview Date: 11th November 2024

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