Research Associate in Mathematical Epidemiology

TN United Kingdom; Manchester; Hybrid; GBP 35,000 - 55,000; Full time

Job summary

An established industry player offers an exciting opportunity for a postdoctoral research associate in Mathematical Epidemiology. This role involves developing innovative computational tools to analyze outbreak data, ensuring effective management in resource-limited settings. Collaborating with renowned institutions like the World Health Organisation, you will play a crucial role in advancing research methodologies. The position supports flexible working arrangements, promoting work-life balance, and is ideal for those passionate about making a significant impact in public health research. Join a dynamic team dedicated to improving research practices and outcomes.

Benefits

Flexible working

Career breaks

Paid leave for maternity, paternity, and adoption

Qualifications

• Postdoctoral research position in Mathematical Epidemiology with a focus on computational tools.
• Coordinate with initiatives for software interoperability.

Responsibilities

• Develop computationally efficient tools for analysis in resource-limited settings.
• Coordinate with related initiatives to ensure software interoperability.

Skills

Mathematical Epidemiology

Computational Tools Development

Data Analysis

Software Interoperability

Education

PhD in Epidemiology or related field

Tools

R Programming

Statistical Software

Job description

Research Associate in Mathematical Epidemiology, Manchester

Client: The University of Manchester

Location: Manchester, United Kingdom

Job Category: Other

EU work permit required: Yes

Job Reference: 1f14058940ba

Job Views: 3

Posted: 07.05.2025

Expiry Date: 21.06.2025

Job Description:

An opportunity is available for a postdoctoral research position associated with the Medical Research Council project, “Analytical Tools for FFX Studies and the Go.Data Framework”, funded under the “Better Methods for Better Research” scheme. An “FFX” study is the “First Few X”, where X could be e.g. “hundreds” or “thousands”, which is run early in a new outbreak to obtain key information to inform its management.

The aim of the project is to develop computationally efficient tools for the analysis of such studies that can be run in resource-limited settings. This project is led by Thomas House (University of Manchester) with Lorenzo Pellis (University of Manchester) and Christopher Overton (University of Liverpool and UK Health Security Agency) as co-Investigators. The project is to be delivered in collaboration with the World Health Organisation and UK Health Security Agency as well as other academic collaborators.

The post-holder will also be expected to coordinate with related initiatives (e.g., the R Epidemics Consortium; EpiVerse; EpiRecipes) to ensure software interoperability and exploit synergies.

Additional Information:

• The Department and University are committed to staff well-being and work-life balance. Benefits include flexible working, career breaks, and paid leave for maternity, paternity, and adoption.
• For more details, see Benefits at Manchester.
• The Department supports Athena SWAN principles and the LMS Good Practice Scheme. More about our social responsibility activities can be found at Social Responsibility.
• This is a full-time post; applications for part-time, job share, or flexible arrangements are welcome.

Application Process:

Applications should be made online. Please attach a brief research statement (max 2 sides A4, excluding references) to your CV.

Our University supports flexible working. Blended working arrangements may be considered.

Note: We cannot respond to enquiries or accept CVs/applications from Recruitment Agencies.

Enquiries:

Jobtrain: 0161 850 2004 Support Link

Application deadline: Midnight on the closing date.

For the person specification criteria, see the Further Particulars.