Research Assistant (Computational Data Analyst)

We are seeking an experienced Research Assistant with strong data analysis skills to join an exciting Breakthrough T1D-funded research programme led by the Misra Group at Imperial College London. The programme uses large-scale real-world datasets to investigate metabolic dysfunction in type 1 diabetes and its relationship with clinical outcomes, and to develop and validate prediction models that support more individualised care.

Research will focus on near-term complications, metabolic dysfunction, the impact of GLP-1 receptor agonists and other treatments, and long-term cardiovascular risk, combining comparative analyses with risk prediction tools designed to inform clinical practice and policy. The post is based within the Misra Group in the Department of Metabolism, Digestion and Reproduction, a multidisciplinary clinical diabetes research team integrating population-based research, advanced data science, genetics and clinical studies to understand heterogeneity in metabolic health and treatment response across diverse populations with type 1 and type 2 diabetes.

The group brings together enthusiastic and motivated clinical and basic scientists, PhD students, postdoctoral researchers, data analysts and research nurses in a collaborative research environment.

Responsibilities will include:

• Assembling, managing and analysing large real-world datasets to address defined research questions and investigate trends in outcomes among people with diabetes.
• Applying advanced epidemiological and statistical methods, including causal inference approaches such as target trial emulation, active-comparator new-user designs, self-controlled case series and case-crossover studies, where appropriate.
• Developing and validating clinical risk prediction models, including feature engineering, management of missing data, model selection, calibration, discrimination, decision-curve analysis and assessment of clinical utility.
• Translating clinical questions into robust data pipelines and reproducible analytical code incorporating version control, testing and peer review.
• Working closely with the PI and multidisciplinary collaborators to contribute to the intellectual direction of the programme, communicate and interpret analytical methods and findings, and manage day-to-day project activities, deliverables and timelines.

What we are looking for:

• An experienced and motivated researcher with a strong background in biostatistics, epidemiology, bioinformatics, computational science or a related quantitative discipline.
• Experience analysing large-scale population health data and applying advanced statistical methods to address clinically important questions, with particular expertise in pharmacoepidemiology, statistical modelling and the development of clinical risk prediction tools.
• Confidence working with large and complex datasets, using statistical programming languages such as R, Python, Stata or SAS.
• A strong understanding of data quality, reproducibility and robust analytical practice.
• Experience of SQL, cloud-based or high-performance computing environments, and Bayesian methods would also be valuable.
• Intellectual curiosity, enjoyment in solving complex problems and a desire to contribute to the scientific direction of an ambitious research programme.
• Ability to work both independently and collaboratively, communicate complex methods and findings clearly to colleagues from different disciplines, and contribute to high-quality publications and other research outputs.

What we can offer you:

• Opportunity to contribute to an active, fun and multidisciplinary diabetes research team at Imperial.
• The opportunity to continue your career at a world-leading institution and be part of our mission to use science for humanity.
• Benefit from a sector-leading salary and remuneration package (including 41 days’ annual leave and generous pension schemes).
• Access to a range of workplace benefits including a flexible working policy from day one, generous family leave packages, on-site leisure facilities and cycle-to-work scheme.
• Interest-free season ticket loan schemes for travel.
• Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources to support your personal and professional wellbeing.

This role is a full time, fixed-term contract for 12 months based at our Hammersmith Campus.

If you require any further details about the role, please contact: Dr Shivani Misra – [smisra@imepria.ac.uk].

Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities.