(Senior) Research Fellow in Causal Inference

About us

The Department of Statistical Science at UCL is the longest established university statistics department in the world and has played a pioneering role in the development of the subject since its foundation in 1911. It is one of nine departments in the UCL Faculty of Mathematical and Physical Sciences and has close links with many other departments, both within the Faculty and outside of it. We teach statistical science at all levels (undergraduate single/combined honours, service courses, MSc and PhD) and carry out research across a wide range of theoretical and applied areas. In the last Research Excellence Framework exercise (2021/22), over 97% of our output was classified as “world-leading” or “internationally excellent” in terms of originality, significance and rigour. We consistently score highly in the National Student Survey in the Postgraduate Taught Experience Survey.

About the role

The post is an exciting opportunity for a researcher to develop novel statistical methods in causal inference and contribute to a strategic partnership between UCL, the University of Oxford, and Novo Nordisk. You will develop methodology to account for potential sources of disparity in treatment effect estimates between multiple data sources, including confounding, covariate shift, missing data, and measurement error. The goal will be to address each source of bias in turn before synthesising these into a single framework for robust point estimation and valid inference. The postholder will implement these methodological advances into user-friendly software, including tutorials and best-practice guidelines, aimed at clinicians and biostatisticians.

The post is funded for 2 years and available from the 1^st September 2026, though a later start is possible.

Salary:

• Research Fellow grade 7 spine point 32 (£46,261 per annum) to 37 (£52,586 per annum)

• Senior Research Fellow grade 8 spine point 39 (£54,931 per annum) to 40 (£56,431 per annum)

About you

The successful candidate must have a PhD in Statistics, Biostatistics, or a closely related quantitative discipline and strong programming skills in Python or R. They will also have experience in causal inference research, including methods for treatment effect estimation as well as experience in developing and evaluating novel statistical methodology.

What we offer

As well as the exciting opportunities this role presents, we also offer some great benefits some of which are:

• 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

Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.

Our commitment to Equality, Diversity and Inclusion

The department holds a Silver Athena SWAN award in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. We strongly support UCL’s Equalities and Diversity Strategy and encourage applications to our vacancies from under-represented groups.

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