Rapid-Response Outbreak Modeller & Data Scientist

CEPI (Coalition for Epidemic Preparedness Innovations); Greater London; On-site; GBP 40,000 - 60,000; Full time

Job summary

A global health organization is seeking a quantitative analyst with an MSc or recent PhD in fields like data science or epidemiology. The candidate should have 3+ years of relevant experience and be adept in R and Git, with a commitment to working in a cross-functional team. Responsibilities include preparing and analyzing datasets to support outbreak forecasts and decisions. The role is based in London, UK, with some travel requirements. This position offers a chance to contribute to global vaccine development efforts.

Benefits

Opportunity to work with leading experts

Diverse and inclusive environment

Experience in global vaccine development efforts

Qualifications

• 3+ years of experience in outbreak analytics or epidemiological forecasting.
• Proficiency in R, Git, and GitHub with a willingness to learn Python.
• Experience providing decision-ready analyses.

Responsibilities

• Prepare and clean datasets for modelling and conduct preliminary analyses.
• Define quantitative thresholds for outbreak response.
• Compile and analyze disease burden and vaccine impact data.

Skills

Applied quantitative analysis

Statistical methods

Mathematical modelling

Machine learning

R

Git

GitHub

Python

Education

MSc or PhD in data science or related field

Job description

A global health organization is seeking a quantitative analyst with an MSc or recent PhD in fields like data science or epidemiology. The candidate should have 3+ years of relevant experience and be adept in R and Git, with a commitment to working in a cross-functional team. Responsibilities include preparing and analyzing datasets to support outbreak forecasts and decisions. The role is based in London, UK, with some travel requirements. This position offers a chance to contribute to global vaccine development efforts.