Research Assistant (Computational Data Analyst)

Job number

MED05897

Faculties

Faculty of Medicine

Departments

Department of Metabolism, Digestion and Reproduction

Salary or Salary range

£45,399 - £48,876 per annum

Location/campus

Hammersmith Campus - Hybrid

Contract type work pattern

Full time - Fixed term

Posting End Date

19 Aug 2026

About the role

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. For further information, please contact

What you would be doing

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. Advanced epidemiological and statistical methods will be applied, including causal inference approaches such as target trial emulation, active-comparator new-user designs, self-controlled case series and case-crossover studies, where appropriate. The role will also involve 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, alongside internal, external and temporal validation and evaluation of transportability across datasets and population subgroups. Clinical questions will be translated into robust data pipelines and reproducible analytical code incorporating version control, testing and peer review. Working closely with the PI and multidisciplinary collaborators, the successful candidate will 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 to ensure successful delivery of the programme’s objectives.

What we are looking for

We are looking for an experienced and motivated researcher with a strong background in biostatistics, epidemiology, bioinformatics, computational science or a related quantitative discipline. You will have 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. You should be confident working with large and complex datasets, using statistical programming languages such as R, Python, Stata or SAS, and have 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. Beyond technical expertise, we are looking for someone who is intellectually curious, enjoys solving complex problems and wants to contribute to the scientific direction of an ambitious research programme. You should be able 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. The role would particularly suit someone who enjoys combining rigorous quantitative methods with clinically relevant research and is keen to develop their leadership and project management experience within a collaborative and supportive multidisciplinary team.

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.

Further information

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].

Available documents

Attached documents are available under links. Clicking a document link will initialize its download.

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 reserve the right to close the advert before the stated closing date, should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.

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About Imperial

Welcome to Imperial, a global top-ten university where scientific imagination leads to world-changing impact.

Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world’s toughest challenges. Whatever your role, your contribution will have a lasting impact.

As a member of our vibrant community of 22,000 students and 8,000 staff, you’ll collaborate with passionate minds across nine London campuses and a global network.

This is your chance to help shape the future. We hope you’ll join us at Imperial College London.

Our Culture

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. You can read more about our commitment on our web pages.

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Our values are at the root of everything we do, and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.