Job summary
- Main area
- Infectious Disease, Science, Health Economics, Modelling
- Grade
- Civil Service: Senior Executive Officer (SEO)
- Contract
- 1 x FTA to 31 March 2030, 1 x Permanent
- Hours
- Full time
- Part time
- Job share
- Flexible working
- Job ref
- 919-CG-308161-EXT
- Employer
- UK Health Security Agency
- Employer type
- Public (Non NHS)
- Site
- Core HQ
- Town
- London (Canary Wharf)
- Salary
- £46,310 - £52,113 per annum, pro rata
- Salary period
- Yearly
- Closing
- 24/10/2025 23:59
Employer heading

Health Economist and Infectious Disease Modeller
Civil Service: Senior Executive Officer (SEO)
Job overview
This post sits in the HCAI & AMR Modelling and Evaluations Unit at the UKHSA, a dynamic and stimulating group comprising infectious disease modellers and health economists working on diverse projects relating to the burden of infectious disease and modelling the impact of interventions against infections, both nationally and internationally. The work of the Modelling and Evaluations Unit is frequently used to inform policy, close working with policy colleagues is often required. It is a world leader in its field and has numerous collaborative links with external academic and non-academic institutes and other public health agencies, WHO and others.
The Unit sits within the Antimicrobial Resistance (AMR) and Healthcare Associated Infection (HCAI) Division in the Chief Medical Advisor’s group. Our mission is to protect people from healthcare-associated and antimicrobial resistant infections, through world-leading public health microbiology, outbreak response, surveillance, antimicrobial stewardship, modelling, research and evidence-based interventions.
The post holder will:
- Develop mathematical and health economic models of healthcare associated infections (HCAI) and antimicrobial resistant (AMR) infections to gain insight for public health decision-making
- Evaluate the potential cost-effectiveness of interventions and control strategies
2 positions are available:
- 1 Permanent Appointment
- 1 Fixed Term Appointment to 31 March 2030
Main duties of the job
- To lead development of mathematical and health economic models related to the transmission and control of healthcare associated infections and antimicrobial resistant infections
- To take the lead in the parameterisation of the models by analysis of appropriate data and literature review
- To identify, use and analyse complex datasets, synthesizing multiple evidence sources, and using a range of software
- To develop and use health economics and/or health outcomes models to further our understanding of HCAI and AMR infections and their associated costs including understanding the burden of HCAI & AMR from different perspectives.
- To develop models used to assess the effectiveness and cost-effectiveness of infection prevention and control measures and other intervention strategies
- To adapt and extend existing models (written in, for e.g., R) where necessary
- To develop and implement protocols for managing the development of models
- To work and communicate effectively within a multidisciplinary team and coordinate research accordingly
- To liaise and collaborate effectively with UK and international colleagues
- To manage own programme of work and to use considerable initiative and independence
- To give presentations at national and international meetings, as appropriate
- To prepare papers for peer-reviewed scientific journals
Working for our organisation
We pride ourselves as being an employer of choice, where Everyone Matters promoting equality of opportunity to actively encourage applications from everyone, including groups currently underrepresented in our workforce. UKHSA ethos is to be an inclusive organisation for all our staff and stakeholders. To create, nurture and sustain an inclusive culture, where differences drive innovative solutions to meet the needs of our workforce and wider communities. We do this through celebrating and protecting differences by removing barriers and promoting equity and equality of opportunity for all. Please visit our careers site for more information https://gov.uk/ukhsa/careers
Detailed job description and main responsibilities
The Fixed Term post is funded by the National Institute for Health Research (NIHR) as part of its establishment of number of Health Protection Research Units (HPRU) in key priority areas. The HPRU in HCAI & AMR is a multi-disciplinary partnership between the UK Health Security Agency (UKHSA) and the University of Oxford, that will continue to find original and creative ways to combat the major threats posed by healthcare-associated infections and antimicrobial resistance, in strong collaboration with representatives of patients, the public and the NHS.
Essential criteria:
- Masters degree in a relevant subject e.g. economics, mathematics, statistics, modelling, or equivalent relevant research experience in quantitative science, public health or policy analysis.
- Economic, mathematical, or statistical modelling experience.
- Strong skills in analysis and interpretation of data.
- Knowledge and familiarity of programming with statistical packages and scientific programming (for example in R).
- Management, analysis, interpretation and reporting of complex datasets.
- Demonstrate good interpersonal skills and ability to work as a team member (in a multi-disciplinary team).
- Demonstrated capability to take initiative and plan own work programme.
Desirable criteria:
- Knowledge and experience of the application of health economics in the field of infectious diseases.
- Scientific writing including peer review publications.
- Experience in critical appraisal and synthesis of evidence sources.
- Experience of working on collaborative projects.
- Communication of complex ideas and methods clearly and succinctly to a wide range of audiences with differing technical backgrounds.
- Understanding of data validity, reliability and confidentiality issues.
- Demonstrated capability to act upon incomplete information, using experience to make inferences and decision making.
- Able to demonstrate attention to detail, accuracy and methodological rigour as appropriate including the ability to identify, formulate and solve problems.
Selection Process Detail:
This vacancy will be assessed using a competency-based framework which will assess your qualifications, knowledge and experience and skills and abilities outlined in the essential criteria.
Stage 1: Application & Sift
Competency-based assessment
You will be required to complete an application form. You will be assessed on the listed 7 essential criteria, and this will be in the form of a:
- Application form (‘Employer/ Activity history’ section on the application)
- 750 word Supporting Statement.
This should outline how your skills, experience, and knowledge, provide evidence of your suitability for the role, with reference to the essential criteria.
The Application form and supporting statement will be marked together.
Please note you will not be able to upload your CV. You must complete the application form in as much detail as possible. Please do not email us your CV.
Longlisting:
In the event of a large number of applications we will longlist into 3 piles of:
- Meets all essential criteria
- Meets some essential criteria
- Meets no essential criteria
Those falling in the 'Meets all essential criteria' and the 'Meets some essential criteria' piles will progress to shortlisting.
Shortlisting:
In the event of a large number of applications we will shortlist on the following essential criteria:
- Masters degree in a relevant subject e.g. economics, mathematics, statistics, modelling, or equivalent relevant research experience in quantitative science, public health or policy analysis.
- Economic, mathematical, or statistical modelling experience.
Desirable criteria may be used in the event of a large number of applications / large amount of successful candidates.
If you are successful at this stage, you will progress to interview & assessment.
Please do not exceed 750 words. We will not consider any words over and above this number.
Feedback will not be provided at this stage.
Stage 2: Interview
Competency based
You will be invited to a remote interview.
Knowledge, experience, skills & abilities will be tested at interview.
You will be expected to prepare and deliver a 5 to 10 minute presentation during the interview. This will be based on:
- Your own previous relevant research on 'using modelling/ health economics to gain insight for action'.
Interview dates are yet to be confirmed.
Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Eligibility Criteria
Open to all external applicants (anyone) from outside the Civil Service (including by definition internal applicants).
Location
This role is being offered as hybrid working based at our Core HQ in Canary Wharf, London.
We offer great flexible working opportunities at UKHSA and operate using a hybrid working model where business needs allow. This provides us with greater flexibility about how and where we work, to get the best from our workforce. As a hybrid worker, you will be expected to spend a minimum of 60% of your contractual working hours (approximately 3 days a week pro rata, (averaged over a month). Our core HQ offices are modern and newly refurbished with excellent city centre transport link and benefit from benefit from co-location with other government departments such as the Department for Health and Social Care (DHSC).
Security Clearance Level Requirement
Successful candidates must pass a disclosure and barring security check.
Successful candidates must meet the security requirements before they can be appointed. The level of security needed is Basic Personnel Security Standard.
Person specification
Application Form and Supporting Statement
Essential criteria
- Application Form and Supporting Statement
Essential Criteria
Essential criteria
- Questions on experience, knowledge and skills
Ability
Essential criteria
- Presentation
Documents to download
Further details / informal visits contact
- Name
- Carmelita Goodwin
- Job title
- Resourcing Support
- Email address
- [email protected]
- Additional information
Alternatively, you may wish to contact the Hiring Manager, Julie Robotham via [email protected] for further information about the role, to ask any questions or to arrange an informal discussion.
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