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We believe in a world where biodiversity counts


Our dedicated team combines scientific excellence, outstanding technical ability and a passion for nature

Vacancies

WCMC employs a team of around a hundred scientists and technicians, most of whom are educated to masters or doctorate level, together with a small, high-quality administrative team to support the UNEP-WCMC collaboration. WCMC is constantly looking for talented people to join their team, so if you think you would fit in and are eligible to work in the UK, please click on the link to WCMC vacancies below.

 

Contracts Manager (AD1082)

Please note part time hours will be considered with a minimum of 30 hours per week.

The UN Environment World Conservation Monitoring Centre is a world leader in biodiversity knowledge. We work with scientists and policy makers globally to place biodiversity at the heart of environment and development decision-making, to promote enlightened choices for people and the planet. With so much emphasis and importance currently being placed on mitigating against biodiversity loss, and caring for our planet, there really is no better time to join an innovative, forward-thinking conservation organisation.

Senior Programme Officer (AD1086)

We are looking for an experienced and confident person to join our Ecosystem Assessment and Policy Support (EAPS) Programme. The candidate should be familiar with indicators and global biodiversity policy processes, and possess strong technical and networking skills. EAPS works primarily to synthesise and translate the best science to decision makers through information and tools which demonstrate the links between biodiversity, ecosystem services, and human well-being and livelihoods.

Associate Programme Officer (AD1091)

We are seeking a data scientist with a degree in a physical, mathematical, computational or biological discipline and experience in the production, or application of, quantitative analyses and modelling approaches.

Programme Officer (AD1092)

We are seeking a data scientist with a higher degree in a physical, mathematical, computational or biological discipline and experience in the production, or application of, quantitative analyses and modelling approaches.