Research Associate in Pathogen Genomic Epidemiology

Develop innovative statistical and computational methods to advance pathogen genomic epidemiology at Imperial College London.

Best for:Best for postdoctoral researchers with expertise in infectious disease epidemiology, computational biology, or biostatistics, and strong programming skills in R or Python.

Imperial College London · London, United Kingdom · R2 · Recognised researcher

More professors at Imperial College London

Pathogen genomic epidemiologyInfectious disease transmission modelingStatistical and computational methods for genomicsSeasonal influenza epidemiologyGenomic data analysisMathematical modeling of infectious diseases

This is a research staff position — not a PhD studentship.

Deadline

Oct 25, 2026

10 days

Funding

Salaried

£50.7k–£59.5k/yr

Start date

2027-02-01 (flexible)

Full-time

Location

London

United Kingdom

Overview

This Research Associate position at Imperial College London focuses on creating novel statistical and computational techniques to analyze pathogen genomic data for infectious disease epidemiology. Based in the Department of Infectious Disease Epidemiology, the role involves method development, data analysis, and mathematical modeling to understand infectious disease transmission determinants. The project, funded by a Wellcome Early-Career Award, emphasizes interdisciplinary collaboration across epidemiology, genomics, and computational science. Applicants are encouraged from underrepresented groups in science, reflecting the group’s commitment to inclusivity and systemic equity.

Genomic epidemiologyInfectious disease modelingStatistical methodsComputational biologyPathogen genomicsR programmingPython programmingMathematical modeling

What you'll do

Develop and apply statistical and computational methods to analyze pathogen genomic data for understanding infectious disease transmission.
Conduct method development and validation for genomic epidemiology approaches, focusing on genetically proximal sequences.
Perform computational simulations and data analysis to characterize transmission patterns of seasonal influenza and other pathogens.
Collaborate across disciplines including epidemiology, genomics, mathematical modeling, and statistical inference.
Balance method development, simulations, and data analysis based on individual interests and experience.
Contribute to interdisciplinary research projects addressing public health questions.

Requirements

Degree required: PhD in infectious disease epidemiology, computational biology, population biology, biostatistics, or a related quantitative discipline, or equivalent research, industrial, or commercial experience.

Language: English (proficiency level not specified)

Instruction: English

Required skills

Demonstrated experience developing mathematical and/or statistical approaches to address complex biological questions.
Advanced programming skills in R and/or Python.
Background in infectious disease epidemiology, computational biology, or related quantitative disciplines.

Nice to have

Experience with genomic data analysis.Familiarity with mathematical modeling techniques.Knowledge of pathogen evolution and genomic epidemiology.

Eligibility

Open to candidates from historically marginalized groups in science and research.
Candidates who have not yet been officially awarded their PhD may be appointed as Research Assistants.

Funding & terms

Type

Salaried

Amount

£50.7k–£59.5k/yr

Duration

2 years (fixed-term contract)

Programme

Wellcome Early-Career Award

Wellcome Trust

How to apply

Deadline: 2026-10-25

Applicants must submit their CV, cover letter, and any relevant supporting documents through the Imperial College London job portal. Ensure your application highlights your qualifications, skills, and experience in infectious disease epidemiology, computational biology, or related fields. The application process includes a review of submitted materials by the hiring committee.

Documents required