Research Associate/Senior Research Associate: The Alan Turing Institute and Roche have partnered to establish a world-leading industry and academic partnership in advanced analytics focused on enabling the transformative benefits of personalized healthcare. The Health and Medical Sciences Programme at Turing delivers research into the theory and methods of AI, statistics, and data analytics underpinning medical and health applications. The post holder will work on a project funded by the Turing-Roche strategic partnership to explore statistical and machine learning methods to measure and minimize biases and unfairness in Clinical Prediction Models (CPMs).
Designation: Research Associate/Senior Research Associate
Research Area: Statistical Methodology and Applied Data Analysis
Location: Alan Turing Institute, London, United Kingdom
Eligibility/Qualification: The post is open for applicants at either a junior or senior level, and the final offer will be made based on the applicant’s overall skills and level of experience. Applicants should have a PhD or equivalent in statistics, computer science, mathematics, or a related field, as well as a strong background in statistical methodology and applied data analysis. Experience in working with complex biomedical datasets is desirable.
Job Description:
The post holder will work on a project funded by the Turing-Roche strategic partnership, as part of a diverse team of experts across UCL and the University of Manchester, to explore statistical and machine learning methods to measure and minimize biases and unfairness in Clinical Prediction Models (CPMs). The post holder will be responsible for the following:
- Undertake work including statistical analyses and relevant methodological research
- Use tools from causality and data augmentation to estimate and evaluate counterfactual fairness
- Develop novel value-of-information methods to estimate the benefit to fairness in collecting more data from underrepresented groups
- Apply these methods to studies including the Manchester Lung Health Check Programme and UK Biobank
- Publish the results of the methodological and applied research in high-quality journals and participate in national and international conferences
- Communicate technical topics and research outputs to colleagues and external partners by preparing presentations and reports and taking an active role in meetings and discussions
The post holder will benefit from being part of multiple communities of researchers, including the Alan Turing Institute, Roche, the Department of Statistical Science at UCL, and the Centre for Health Informatics at the University of Manchester.
How to Apply: Applicants should submit their CV, cover letter, and contact details for two referees through the Alan Turing Institute website.
Last Date for Apply: The deadline for applications is March 31st, 2023.
| Job Title | Research Associate/Senior Research Associate |
|---|---|
| Research Area | Statistical Methodology and Applied Data Analysis |
| Designation | Research Associate/Senior Research Associate |
| Location | Alan Turing Institute, London, United Kingdom |
| Eligibility/Qualification | PhD or equivalent in statistics, computer science, mathematics, or related field, strong background in statistical methodology and applied data analysis |
| Job Description | Undertake statistical analyses and methodological research, explore methods to measure and minimize biases and unfairness in Clinical Prediction Models (CPMs), publish results in high-quality journals, and communicate research outputs to colleagues and external partners. |
| How to Apply | Submit CV, cover letter, and contact details for two referees through the Alan Turing Institute website. |
| Last Date for Apply | March 31st, 2023 |
