Data Analyst

CABI

Wallingford, Oxfordshire, with hybrid working
£27,965 - £32,901 pa

Paid • Full Time • Permanent

www.cabi.org

Sectors: food, farming & horticulture

Closing date: Sunday, 17th July 2022  


ABOUT CABI:

As an academic publisher in the life sciences, CABI helps people discover validated evidence-based information to help them overcome the world’s biggest challenges. We invest surpluses from our publishing business back into our development projects, which tackles global poverty and hunger in the face of climate change.

CABI is the only organisation worldwide that incorporates a dedicated publishing arm and an independent science media organisation alongside conducting its own scientific research and applying practical expertise in digital and other approaches to reach farmers and other stakeholders. Our publications in applied life science – including world-leading databases, books, eBooks, compendia and internet resources – help scientists discover credible and authoritative outputs from around the globe. Our tools add insights to data and help people apply science to real-world problems.

THE ROLE:

Contract: Full Time / Permanent
Grade: Hay Band 4
Reporting to: Senior Scientist, Digital Development

CABI is looking for a curious and enthusiastic individual with strong quantitative skills to provide support for advancing data science work within our programmes in digital development. This post will support a growing portfolio of data modelling and analytics projects within CABI’s digital development theme. 

This role is suitable for a data analyst with a background in agriculture/biosciences and with spatial data analysis skills, to support the GBCL initiative in collating, validating, and analysing large and complex datasets in a reproducible manner. The candidate will work in global, multidisciplinary teams on the implementation of the programme modelling approaches to generate estimates of crop loss and economic burden. Knowledge and experience of at least one statistical programming language is required. Skills in geospatial analysis, applying quantitative methods addressing ecological/agricultural problems, and understanding of the principles of pest biology are of key importance.

CABI reserves the right to close the vacancy before the advertised closing date if a suitable number of applications are received.


Find out more & apply