Research Assistant in Data Sciences

The candidate will support a research program focussing on developing diagnostic algorithms for asthma using allergic sensitisation data. The project uses Machine Learning and AI to analyse high-dimensional clinical, immunological and omics datasets in respiratory and allergic diseases.

• You must be organised, highly self-motivated, and possess excellent communication, interpersonal, and computing skills.
• You will be expected to manage your time and performance effectively and demonstrate a proactive, knowledgeable approach, with the ability to solve complex analytical problems supported by robust data management practices.
• You should demonstrate a high degree of proficiency in one or more statistical or programming environments (e.g., Python, MATLAB, or R). You should also have experience preparing clear oral and written reports of research findings.

What we are looking for

• You must hold an MSc in Statistics, Machine Learning, Artificial Intelligence, Data Science, or another relevant quantitative discipline with a strong statistical or machine learning component.
• Demonstrated experience in the analysis of large, high-dimensional biomedical datasets.
• Proficiency with Python.
• MATLAB or R 2-3 years' experience of complex clinical, immunological, or omics datasets.
• Experience implementing computational pipelines for integrated analysis of clinical and laboratory data, including data harmonisation.
• Experience dealing with real-world clinical data issues, including missing data, measurement variability, and data heterogeneity.
• Experience building and validating predictive models. Strong knowledge of multivariate statistics and machine learning, and network analytics.
• Knowledge of principles of reproducible research, data quality control, and good analytical practice.

• Relevant training and professional development will be encouraged through both internal opportunities and external courses and seminars.
• The opportunity to attend and present at conferences
• Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes).
• Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources designed to support your personal and professional wellbeing.
• The opportunity to continue your career at a world-leading institution and be part of our mission to use science for humanity.
• Grow in your career with tailored training programmes for academic staff including dedicated support with navigating your career and managing research as well as a transparent promotion process.
• Sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes).
• Be part of a diverse, inclusive and collaborative work culture with various staff networks and resources designed to support your personal and professional wellbeing., This role is for a full tiem (35h) and a fixed term contract for 18 months, in the first instance, with the possibility of renewal. This is a full-time post must start no later than September 2026.

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.