At a Glance
- Tasks: Develop innovative statistical methods in causal inference and create user-friendly software.
- Company: UCL, a leading university with a focus on research and diversity.
- Benefits: 41 days of leave, generous benefits, and a supportive work environment.
- Other info: Join a dynamic team dedicated to advancing statistical science.
- Why this job: Make a real impact in healthcare by addressing treatment effect estimation biases.
- Qualifications: PhD in Statistics or related field, programming skills in Python or R.
The predicted salary is between 45000 - 60000 £ per year.
UCL is offering an exciting opportunity for a Research Fellow or Senior Research Fellow in the Department of Statistical Science, focusing on developing novel statistical methods in causal inference. The position, funded for 2 years starting September 2026, aims to address treatment effect estimation biases and produce user-friendly software for clinicians and biostatisticians.
Ideal candidates will have:
- A PhD in Statistics or a related field
- Programming skills in Python or R
- Experience in causal inference research
UCL offers a supportive environment with generous benefits, including 41 days of leave and a commitment to diversity.
Senior Research Fellow, Causal Inference & Methodology employer: UCL
UCL is an exceptional employer, providing a vibrant and inclusive work culture that fosters innovation and collaboration in the field of statistical science. With generous benefits such as 41 days of leave and a strong commitment to diversity, employees are encouraged to grow and thrive in their careers while contributing to meaningful research that impacts healthcare. The opportunity to work in London, a hub for academic excellence, further enhances the appeal of joining UCL as a Senior Research Fellow.
