About the role
The candidate should have a background in epidemiology, medical statistics, public health or similar, and have knowledge of climate change adaptation and mitigation priorities for the UK. The candidate should be experienced in conducting quantitative research and applying spatio-temporal epidemiologic methods, ideally to environmental health data including climate data analysis.
The post-holder will be supervised by Dr Ana-Catarina Pinho-Gomes and will be expected to work closely with the project partners.
This is a part-time role ( FTE, hours per week) based at the Institute for Global Health, UCL. The role is available immediately until .
A job description and person specification can be accessed at the bottom of this page.
Salary range: £44, to £51, per annum (including London Allowance) depending on experience, pro-rata for part-time staff.
There is also a £3, budget for courses/conferences in keeping with individual PDP and learning needs.
If you have any queries about the role, please contact Dr Ana-Catarina Pinho-Gomes on .
If you need reasonable adjustments or a more accessible format to apply for this job online or have any queries about the application process, please contact the IGH HR Team on .
About you
It is essential that the successful candidate has a PhD or equivalent working experience in a field related to climate data analysis and environmental health epidemiology and they possess excellent interpersonal skills, including diplomacy and discretion, and the ability to liaise appropriately and effectively (remotely and in person) with staff and external individuals at any level of seniority.
The role requires that the post holder has in-depth knowledge and experience of undertaking environmental epidemiology research, including climate data and GIS analysis. Previous experience of collecting and analysing qualitative/quantitative data in the context of environmental epidemiology and climate data analysis is also required.
The ideal candidate will have experience in conducting literature reviews, preparing reports and presentations and a strong understanding and experience of R and Python software.
What we offer
As well as the exciting opportunities this role presents, we also offer some great benefits, some of which are below:
41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)
Additional 5 days’ annual leave purchase scheme
Defined benefit career average revalued earnings pension scheme (CARE)
Cycle to work scheme and season ticket loan
Immigration loan
Relocation scheme for certain posts
On-Site nursery
On-site gym
Enhanced maternity, paternity and adoption pay
Employee assistance programme: Staff Support Service
Discounted medical insurance
