Job summary
- Main area
- Science
- Grade
- Civil Service: Senior Executive Officer (SEO)
- Contract
- 20 months (Fixed term contract until 31/3/2027)
- Hours
- Full time
- Part time
- Job share
- Flexible working
- Job ref
- 919-HM-62085875-EXT
- Employer
- UK Health Security Agency
- Employer type
- Public (Non NHS)
- Site
- Any UKHSA Core Office - Birmingham, Leeds, Liverpool, London (Canary Wharf)
- Town
- London
- Salary
- £40,661 - £50,472 Per annum, pro rata
- Salary period
- Yearly
- Closing
- 09/07/2025 23:59
Employer heading

Senior Mathematical Modeller
Civil Service: Senior Executive Officer (SEO)
Job overview
We are seeking a Senior Mathematical Modeller to join our team in Evaluation and Epidemiological Science and the Health Protection Research Unit in Evaluation and Behavioural Science. This post is funded through the NIHR HPRU scheme. The post holder will work on a range of projects within multidisciplinary teams. They will develop novel mathematical and statistical models to address key public health research questions of relevance to the UKHSA. They will work closely with the HPRU colleagues at the University of Bristol including leading mathematical modellers. It would be desirable for the post holder to also be familiar with health economic modelling and to apply economic analyses as part of the modelling analysis. The post holder will be expected to develop effective collaborations and coordinate the research to meet objectives. Research will respond to policy needs and should provide insight for policy makers, epidemiologists, clinicians and other stakeholders. Good communication skills are essential.
Main duties of the job
This role will be based in the Evaluation and Epidemiological Science (EES) Division. EES provides leadership and strengthened capabilities and capacity in the delivery of public health evaluations and application of epidemiological science, with the Scientific Strategy and Evidence Group, CSO. The scope of the Division spans across the all-hazards remit of UKHSA, including public health incidents and emergency preparedness and response. EES functions include:
- Deliver on the UKHSA Science Strategy commitment to strengthen evaluation science, rapid research and evaluation in emergencies to inform the public health response to incidents
- Provide leadership, scientific subject matter expertise and strengthen best practice in evaluation and epidemiological science across the all-hazards remit of UKHSA
- Lead the identification and prioritisation of UKHSA needs for evaluations of public health interventions
- Lead a work programme which provides the evidence base to strengthen public health outcomes and deliver impact
- Develop and disseminate methods, tools, and guidance to inform and strengthen best practices
- Lead a community of practice for evaluation to strengthen partnerships, share good practice and deliver training and skill development opportunities
- Form strategic partnerships and collaborations including with academic and industry partners to strengthen UKHSA capabilities, leverage external grant income and deliver a programme of scientific research aligned to priorities
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
Your key responsibilities will include to:
- lead development of mathematical and statistical models of the transmission, control and burden of infectious diseases
- take the lead in the parameterisation of the models by analysis of appropriate data and literature review
- identify, use and analyse complex data-sets, synthesizing multiple evidence sources, and using a range of software including data-base and statistical packages
- develop and use mathematical and/or statistical models to further our understanding of infections
- develop models used to assess the effectiveness and cost-effectiveness of infection prevention and control measures and other intervention strategies
- adapt and extend existing models (written in, for e.g., R) where necessary
- develop and implement protocols for managing development of models
- work and communicate effectively within a multidisciplinary team and coordinate research accordingly
- liaise and collaborate effectively with UK and international colleagues
- manage own programme of work and to use considerable initiative and independence
- give presentations at national and international meetings as appropriate
- prepare papers for peer-reviewed scientific journals
The duties/responsibilities listed above describe the post as it is at present and is not intended to be exhaustive. The Job holder is expected to accept reasonable alterations and additional tasks of a similar level that may be necessary.
Selection process details
This vacancy will be assessed using a competency-based framework which will assess your knowledge and experience, and/or skills and abilities outlined in the essential criteria.
You will be required to complete an application form. You will be assessed on the 15 essential criteria listed, and this will be in the form of a:
- Application form (‘Employer/ Activity history’ section on the application)
-
1000 word supporting statement
This should outline how you consider 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.
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
Piles Meets all essential criteria will be moved through to the shortlisting stage.
Shortlisting: In the event of a large number of applications we will shortlist on:
- Significant mathematical or statistical modelling experience
Please do not exceed 1000 words. We will not consider any words over and above this number. If you are successful at this stage, you will progress to an interview. Unfortunately, late applications will not be considered.
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.
Feedback will not be provided at this stage.
Stage 2: Interview (competency based)
You will be invited to a (single) remote interview.
Knowledge, experience, skills & abilities will be tested at interview
There will be a 5-minute Presentation at interview, full details will be provided at the shortlisting stage.
Once this job has closed, the job advert will no longer be available. You may want to save a copy for your records.
Location
This role is being offered as hybrid working based at any of our Core HQ’s.
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) working at one of UKHSA's core HQ’s (Birmingham, Leeds, Liverpool, and London).
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).
Eligibility Criteria
Open to all external applicants (anyone) from outside the Civil Service (including by definition internal applicants).
Security Clearance Level Requirement
Successful candidates must pass a disclosure and barring security check.
Person specification
Essential criteria
Essential criteria
- Primary degree in science/maths/statistics AND PhD in science/maths/statistics relevant OR Relevant Masters Degree with research experience
- Significant relevant research experience
- Significant mathematical or statistical modelling experience
- Management, analysis, interpretation and reporting of complex data-sets
- Experience in critical appraisal and synthesis of evidence sources
- Knowledge and familiarity of programming with statistical packages and scientific programming (for example in R)
- Scientific writing including peer review publications
- 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
- Strong skills in analysis and interpretation of data
- Understanding of data validity, reliability and confidentiality issues
- Able to demonstrate attention to detail, accuracy and methodological rigour as appropriate including the ability to identify, formulate and solve problems
- 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
- An understanding of and commitment to equality of opportunity and good working relationships
Documents to download
Further details / informal visits contact
- Name
- Harry Mccullagh
- Job title
- Resourcing Officer
- Email address
- [email protected]
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