Bradford Teaching Hospitals NHS Foundation Trust
Job summary
Closing Date: 16.08.26
Shortlisting to take place after closing date: commencing 18.08.26
Interview expected to take place in the week following shortlisting: commencing 01.09.26
We have a vacancy for an exceptionally organised and highly motivated individual with a background in epidemiology, statistics, psychology, child development, public health, applied health research or a related quantitative discipline to work on the BiBBS cohort within Born in Bradford.
The successful candidate will use BiBBS data (longitudinal cohort data and linked routine records) to undertake research into the drivers of contemporary child inequities and the evaluation of early preventative interventions to address these inequities. They will contribute to the development of research questions, prepare and analyse complex datasets, support data linkage and harmonisation, write statistical analysis plans, and apply appropriate quantitative methods to address applied child health and public health research questions
Main duties of the job
The postholder will be part of the Born in Bradford Epistats team and will work closely with colleagues in BiBBS and the wider Born in Bradford research programme. They will contribute to high-quality, reproducible analysis, data preparation, documentation, statistical advice and, where required, support for approved data extracts.
This is an exciting opportunity to work on a high-profile applied research programme with real potential to improve outcomes for children, families and communities in Bradford and beyond.
Person Specification
Experience
Essential
- Experience of project management
- Relevant research experience in epidemiology, biostatistics, or a closely related quantitative discipline
- An academic track record of peer-reviewed publications
- Experience of working with large data sets
- Experience of using/interrogating databases
- Experience of Microsoft Office applications
- Experience of collecting, processing and analysing longitudinal research data in human population studies
- Experience of advanced quantitative data analysis, e.g. multilevel modelling, longitudinal analysis
- Experience of working in collaborative research groups including NHS, academics and other stakeholders
- Experience of disseminating complex research findings in accessible formats to different stakeholder groups including clinicians and the general public
- Experience of conducting scientific literature reviews
- Evidence independent work in a research and / or statistical environment
- Previous experience of developing research proposals and funding applications in epidemiology, biostatistics, public health or applied health research
Desirable
- Experience of developing programmatic analytical tools for others to use
Skills
Essential
- Ability to use at least one common statistical package e.g. Stata, R
- Ability to perform a range of advanced statistical techniques
- Preparation and presentation of statistical reports and analyses
- Effective organisational skills, ability to plan and work on multiple projects in parallel, and implement objectives effectively
- Accurate, methodological and pays attention to detail
- Ability to prioritise own workload and work to deadlines
- Facilitation skills and the ability to work effectively and flexibly within a multidisciplinary team
- Effective communication and presentation skills (written and oral)
- Skills in reviewing and summarising epidemiological literature
- Ability to write papers for publication in peer-reviewed journals
- Ability to produce reusable program code in at least one common statistical or database package e.g. Stata, R
- Track record of peer-reviewed publications
- Ability to translate a strategic overview into operational plans
- Ability to motivate staff and implement best practice
Desirable
- Demonstrated facilitative and negotiating skills
Knowledge
Essential
- Knowledge of sources of relevant reference datasets
- Ability to offer appropriate statistical advice on a range of projects
- Willingness to keep abreast of new statistical techniques and methods
- Underpinning knowledge of cohort studies and complex epidemiological analysis
- Knowledge of procedures for NHS ethical approvals
- Knowledge of NHS R&D procedures
- Knowledge of research governance, and good clinical practice
Desirable
- Knowledge of communication and dissemination methodologies
- Basic knowledge of SQL
Qualifications
Essential
- Postgraduate qualification in a relevant epidemiological, biomedical, statistical or applied health research
- Demonstrable relevant medical statistics/epidemiological work experience
Other Requirements
Essential
- Willing to occasionally travel locally, nationally and internationally
- Able to work flexibly to meet the requirements of the role
Closing Date: 16 August 2026
To apply for this job please visit apps.trac.jobs.