Job Description
The Opportunity
This role offers the chance to contribute to a high-impact research project focused on improving how infectious disease transmission is understood and measured. In particular, the work will explore the factors shaping the effective reproduction number (R) and how these can be better quantified using advanced modelling approaches.
As a Research Fellow, you will play a central role in a collaborative team, working alongside the Principal Investigator and a specialist software engineer. The project combines epidemiology, statistical modelling, and research software development, with the goal of delivering practical tools for real-world public health use.
Your work will include:
Designing and running simulation studies
Analysing real-world epidemiological datasets
Developing and refining statistical methodologies
Contributing to the development of an open-source R package (Rtglm)
Engaging with collaborators, stakeholders, and public contributors
This position provides a strong platform to develop your independent research profile while ensuring your work contributes directly to public health preparedness and response.
About You
We are seeking a researcher who combines technical expertise with a genuine interest in applied impact. You should have:
A PhD (or equivalent experience) in a quantitative discipline such as epidemiology, statistics, data science, or mathematical modelling
Strong programming skills (ideally in R or similar languages)
Experience in data analysis, modelling, or public health research
You will also:
Work effectively both independently and as part of a multidisciplinary team
Communicate complex ideas clearly to a range of audiences
Be interested in open science, reproducibility, and collaborative research
A proactive and curious mindset, along with a commitment to high-quality and transparent research, will be key to success in this role.
About the School of Life Sciences
The School of Life Sciences brings together expertise across biology, chemistry, and health sciences to tackle global challenges. Research spans areas such as molecular biology, neuroscience, ecology, and drug discovery, supported by strong interdisciplinary collaboration.
Key highlights include:
A research portfolio exceeding £50 million
Participation in major research centres and programmes
Strong performance in the UK Research Excellence Framework (REF 2021)
A Silver Athena Swan Award, recognising commitment to equality and inclusion
The School fosters a collaborative and supportive culture, grounded in values of integrity, inclusivity, and innovation.
Working Environment
The university campus is located near the South Downs, offering a vibrant and scenic working environment. Staff benefit from:
Easy access via public transport (Falmer station nearby)
Cycle-friendly infrastructure
Flexible working options (where feasible)
A strong focus on wellbeing and professional development
Visa, ATAS and Eligibility
This role may be eligible for UK visa sponsorship, subject to meeting the relevant criteria. Depending on your background, you may also need an ATAS (Academic Technology Approval Scheme) certificate.
Useful guidance can be found here:
Skilled Worker visa overview
Check job eligibility for sponsorship
Visa salary thresholds
ATAS certificate guidance
Proving your right to work in the UK
Please note: All work must be carried out within the UK.
How to Apply
To apply, please visit the university’s vacancies page and submit:
Your CV
A supporting statement outlining your experience and research interests
Equality, Diversity and Inclusion
The University is committed to building a diverse academic community and welcomes applications from all backgrounds. We particularly encourage applications from groups currently underrepresented in STEM fields.