Job Description

About Us

We are a world-class visitor attraction and leading science research centre. We use the Museum\'s unique collections and our unrivalled expertise to tackle the biggest challenges facing the world today. We care for more than 80 million objects spanning billions of years and welcome more than five million visitors annually and 16 million visits to our website.

Today the Museum is more relevant and influential than ever. By attracting people from a range of backgrounds to work for us, we can continue to look at the world with fresh eyes and find new ways of doing things.

About the role

This post will be embedded in a lab whose focus is understanding the impact of global change (e.g., climate, land-use and demographic change). For one aspect of this, we examine the spill over of zoonotic pathogens in areas with widespread agricultural expansion, to understand how disease risk may change in the future. This post will partly act to support the work currently being undertaken, providing expertise in reproducible workflow for coding, data management and machine learning. They will also be expected to lead on publishing some ongoing work examining land-use change/invasive species and disease risk, as well as being supported to develop new research avenues.

About you

We are looking for someone with a PhD in Ecology, Epidemiology, Computer Science, Applied Statistics or similar, and ideally experience of working in an academic environment. You will also have a strong quantitative background, with experience of a daily use of coding environments such as R, Python or similar, and use of open data and coding, version control and data management. Experience or interest in machine learning, deep learning and/or AI, developing user interfaces e.g., R shiny, and work in ecology, or with zoonoses/vector-borne diseases is advantageous.

This post will be required to produce high-quality written reports, work independently, structure time and keep to deadlines. You will need to have effective communication and team-working skills, as well as initiative and self-motivation.

What we offer

• 27.5 days holiday plus 8 bank holidays (full time equivalent)
• Generous defined contribution Natural History Museum Pension Scheme (employer contribution 4 - 10%)
• Season ticket, bicycle and rental loan
• Life insurance
• Free admission to our exhibitions and many other paid exhibitions at museums, galleries and institutions across London and the UK.
• Staff discount at our Museum shops and cafes
• We offer a wide variety of training initiatives and opportunities to build skills. Investing in staff development is important to us, and we are ambitious about helping staff to grow and fulfil their potential.
• Affordable membership to the Civil Service Sports Council which offers a range of benefits including an extensive list of special offers and reduced entry fees at a selection of cinema chains, theme parks, theatres, retailers and supermarkets. Membership to our Sports and Social Association (for a small fee)

How to apply

For further information or to apply, click the \'Apply\' button above.

Closing date: 9am, Monday 21st August

Interviews expected w/c 4th September

Please note that this role does not qualify for Museum sponsorship so the successful postholder will need to have a valid right to work in the UK at the point of offer.

\xc2\xa338,733 to \xc2\xa344,222 subject to relevant postdoctoral experience

Jobs.ac.uk