Job summary

As a Data Manager you will be part of a dynamic team responsible for delivering the development, management, and coordination of vaccine uptake surveillance systems for vaccine preventable diseases.

Immunisation Programmes Division

The Immunisation programmes division is responsible for providing technical support and clinical expertise to the Department of Health and Social Care and to NHSE and the NHS in planning and implementation of the national immunisation programmes.

The division evaluates the programmes by generating high quality data on vaccine coverage. Surveillance of vaccine coverage data are vital components of the evaluation of vaccination programmes in the UK. These data inform the understanding of the public health impact of vaccination programmes and help develop and improve control strategies. The division also provides secretariat to the Joint Committee on Vaccination and Immunisation who would recommend any changes to the national programme. The division also oversees the national distribution and clinical use of immunoglobulins.

Main duties of the job

The main responsibilities of the post holder will be to maintain and develop vaccine uptake surveillance systems for preventable diseases and linked datasets used to monitor vaccine safety and effectiveness, working closely with a wide variety of professionals from both within and outside UKHSA to ensure high quality data. They will be responsible for the move to automation of the production of regular outputs from these systems for inclusion in routine national and international reports and generate data for ad hoc requests and information requests from government. The role requires liaising with stakeholders within the organisation and outside to support effective decision making through data reporting, quality assurance and standards processes. It involves developing working relationships with other health professional groups both within UKHSA, NHS England (NHSE) and the NHS at various levels to manage and source data and information, in the context of a rapidly changing data environment. The post holder will have strong data management skills, ideally with experience in immunisation data and manging a small team. They must have excellent interpersonal skills and an ability to work effectively both autonomously and within a team.

About us

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.

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Job description

Job responsibilities

As Data Manager you will be involved in:

Applying analytical methods to potentially highly complex surveillance data from a variety of sources as requested Planning, organising and delivering on a range of data requests requiring analytic input, including negotiating and agreeing the most appropriate data output, initiating and planning workloads and setting delivery timescales for the team Turn data products and data visualisation products for publication and analysis; effectively communicate specialist information with colleagues Perform all work in cognisance of data protection requirements and the need to maintain confidentiality and security of surveillance information Working collaboratively as part of the analytical capability across the product life cycle. Assisting colleagues in the delivery of the analytical work programme and also with colleagues in other analytical teams in UKHSA as required. You understand and can make use of different tools for automation, and you can compare different data models Using a variety of methods including written briefings and oral presentations to communicate the implications of public health analytical outputs for action to improve local population health to stakeholders from a range of backgrounds

Essential Criteria

Please be aware that we will assess on thesevenessential criteria stated on the role requirements section of the advert rather than the full list on the job description document.

Selection Process Details

This vacancy will be assessed using a competency-based framework which will assess your Qualifications, knowledge and experience and / or skills and abilities outlined in the essential criteria.

Stage 1: Application & Sift

Competency-based assessments

You will be required to complete an application form. You will be assessed on the above listedsevenessential criteria, and this will be in the form of a:

Application form (Employer/ Activity history section on the application)1000 wordStatement of Suitability.

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 Statement of Suitability 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

We will take piles 1 and 2 through for shortlisting.

Shortlisting:In the event of a large number of applications we will shortlist on:

Data science programming skills such as SQL, R or any other programming language (PERL, python), particularly in relation to public health

If you are successful at this stage, you will progress to interview and assessment .

Please do not exceed1000 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 (single) remote interview.

Knowledge, experience, skills & abilities will be tested at interview

There will be a Technical Test.

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

External

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 lab/office in Colindale, 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).

Security Clearance Level Requirement

Successful candidates must pass a disclosure and barring security check.

If based at one of our scientific locations you will be required to have a Counter Terrorism Check security vetting check as a minimum. For meaningful National Security Vetting checks to be carried out individuals need to have lived in the UK for a sufficient period of time. You should normally have been resident in the United Kingdom for the last 3 years as the role requires Counter Terrorism Check (CTC) clearance. In exceptional circumstances UK residency lessthan the outlined periods may not necessarily bar you from gaining national security vetting and applicants should contact the Vacancy Holder/Recruiting Manager listed in the advert for further advice.

Person Specification

Qualifications

Essential

A degree in a maths or science subject or significant experience of working at a similar level in data analysis/data management

Knowledge and Experience

Essential

Data science programming skills such as SQL, R or any other programming language (PERL, python), particularly in relation to public health Data management, analysis, and reporting Significant experience of working with multiple sets of data and information systems in health or related organisations Experience of scripting (ability to write functions and understandable object orientated code) and applied use of statistical computing environments such as R, SAS, STATA, SPSS, Mathematical or equivalent Ability to analyse very complex issues where material is conflicting and drawn from multiple sources

Skills/Capabilities/Behaviours

Essential

Well-developed software skills in database management including experience of SQL and excel