Research Associate

Overview

Join a Wellcome-funded group in Imperial College London to advance methods for pathogen genomic epidemiology. You will develop statistical and computational techniques to infer transmission patterns from genome data, starting with seasonal influenza. This role blends method development with data analysis and simulations in a collaborative, interdisciplinary environment. You will contribute to high-impact public health research and have opportunities for career development and progression. This is an exciting chance to shape scalable approaches that impact infectious disease understanding.

Pay / Benefits

• career development support
• 10 development days
• sector-leading salary
• 43 days off per year
• generous pension schemes
• diverse and inclusive culture

Responsibilities

• Develop and apply statistical/computational methods to characterize transmission from pathogen genomic data
• Focus initially on seasonal influenza with potential extension to other pathogens
• Engage in method development, validation, simulations and data analysis
• Work in an interdisciplinary setting combining epidemiology, evolution, genomics, modelling and inference
• Balance project work according to interests and expertise

Key requirements

• PhD or equivalent in a quantitative field (or eligibility for Research Assistant role)
• Demonstrated experience building mathematical or statistical approaches to solve complex biological questions
• Experience performing quantitative analyses on complex biological data using rigorous methods
• Evidence of disseminating research through publications, preprints, tools, or presentations
• Advanced programming skills in R and/or Python
• Knowledge of infectious disease epidemiology or strong interest to learn

• Cross-disciplinary collaboration
• Curiosity and willingness to develop expertise across fields
• Strong communication and teamwork
• R and/or Python programming
• Mathematical modelling
• Statistical inference

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