Data Analyst/Research Fellow

Lancet Countdown: Tracking Progress on Health and Climate Change
16 Mar 2019
27 Mar 2019
Job Type
Contract Type
We are looking to appoint a motivated researcher with strong quantitative analysis skills to join the next phase of the Lancet Countdown: Tracking Progress on Health and Climate Change. The appointee will join the Executive of the Lancet Countdown, an independent, international and multi-disciplinary research collaboration based out of the Institute for Global Health, University College London.

The collaboration brings together 27 academic and UN Institutions from every continent, tracking the world's response to climate change and the health implications of action and inaction.

Following a successful first phase from 2016 to 2018, the collaboration is about to commence a new and expanding second phase, from 2019 to 2023, in the first instance.

The successful candidate will join the Lancet Countdown in central London, working with the collaboration's co-chairs: Professor Anthony Costello, Peng Gong, Hugh Montgomery and its Executive Director, Dr Nick Watts.

The post-holder will be responsible for providing analytical support to the collaboration's key academic outputs (including its annual indicator report and national case studies); working with its academic experts to develop and implement a long-term programme of improving the data and methods available for these outputs; and conducting novel analysis on the links between health and climate change to further support the Lancet Countdown's communications outreach and policy engagement work.

The post is available immediately to 31 July 2023, in the first instance.

Key Requirements

A PhD with experience in quantitative analysis and methods, related to public health, climate change, environmental sciences, or any other relevant field, or with substantial equivalent skills and experience.

Experience including: providing quantitative analytical support and expertise across the broad array of sector methodologies; managing and maintaining large databases to support the development of indicators or metrics; working in an academic environment, including the development and drafting of academic research papers.

The candidate will also have strong familiarity with a variety of quantitative methods used in public health and / or environmental sciences.

Excellent communication spoken and written English, with the ability to draft and edit academic manuscripts for publication.

Strong technical knowledge of a variety of quantitative methodologies and software packages.

A willingness to travel and to participate in conference calls outside of normal working hours with other time zones.