Research Fellow in Infectious Disease Modelling(UK Sponsorship)

Job Description

About the Role

This postdoctoral position offers an exciting opportunity to contribute to advanced research focused on understanding how infectious diseases spread. The project specifically aims to improve how we measure and interpret the effective reproduction number (R)—a key indicator used in outbreak control and public health decision-making

You will work closely with the Principal Investigator and a dedicated software engineer to develop innovative statistical approaches and user-friendly tools for epidemiological analysis. The role combines theory and application, bridging epidemiology, statistical modelling, and software development.

Key responsibilities include:

Designing and running simulation studies to test new modelling approaches
Analysing real-world infectious disease datasets
Developing and implementing novel statistical methodologies
Contributing to the development of an open-source R package
Collaborating with academic, public health, and international partners
Translating research findings into practical tools for public health use

Your work will directly support evidence-based policy and align with national public health priorities

About You

We are seeking a motivated and collaborative researcher who is passionate about using data and modelling to address real-world health challenges.

Essential profile:

PhD in a quantitative field such as infectious disease modelling, statistics, data science, or mathematical epidemiology (or equivalent experience)
Strong programming skills (e.g., R, Python) and experience with data analysis
Ability to develop reproducible, transparent research methods
Experience working independently while contributing to team-based projects
Strong communication skills for both technical and non-technical audiences

Desirable qualities:

• Experience working with public health data or policy environments
  Interest in open science and research software development
  Ability to engage with diverse stakeholders, including community contributors
• This role may require visa sponsorship; applicants should review UK Skilled Worker visa requirements
• Some candidates may also need ATAS clearance depending on nationality and research area

About the School of Life Sciences

The School is a multidisciplinary environment dedicated to advancing knowledge across biological and chemical sciences. Research spans areas such as molecular biology, neuroscience, ecology, and chemistry, with a strong emphasis on real-world impact.

The School hosts several leading research centres and has a strong track record of internationally recognised research excellence. It also maintains a strong commitment to equality, diversity, and inclusion, supported by initiatives such as the Athena Swan Charter:
https://www.advance-he.ac.uk/equality-charters/athena-swan-charter

Why Join This University?

Located near the South Downs National Park, the campus offers a vibrant and collaborative research environment. The university is well-connected via public transport and supports sustainable commuting options.

Staff benefit from:

• Competitive salary and pension scheme
  Flexible working arrangements
  Career development opportunities
  Inclusive and supportive workplace culture

Employment rights and working conditions align with UK labour standards

Additional Information

Informal enquiries: Pierre Nouvellet
Interviews expected: 27–28 April 2026
Work must be conducted within the UK

The institution is committed to promoting diversity and welcomes applications from underrepresented groups in STEMM disciplines.