Clinical fellowship opportunity – West Midlands Secure Data Environment
Birmingham Health Partners, in partnership with the West Midlands Secure Data Environment (WMSDE) and the Dexter platform team, is pleased to invite expressions of interest from clinicians in maternity and acute care to join our collaborative research and data innovation program.
About WMSDE and Dexter
WMSDE is an NHS platform that enables secure access to linked health and care data to approved users for research. WMSDE works in partnership with health and care organisations within the region to bring together disparate health information into linked multi-modal datasets for technology evaluation, clinical trials, translational studies, and real-world assessment of treatments and healthcare delivery systems. WMSDE is working in collaboration with Dexter, a clinical data enablement platform designed to extract, normalise and prepare health data into analysis-ready datasets. This significantly reduces the time required for data analysis and improves the accessibility of health and care data available for research to improve patient care.
The opportunity
We are seeking clinicians from maternity and acute care backgrounds with an interest in health informatics and real-world evidence to dedicate one day per week (0.2 FTE) to support the evaluation of the Dexter tool within the WMSDE health data environment. This role offers a unique opportunity to use new datasets and advanced automated data extraction to undertake research that improve patient care, while evaluating and improving the underlying technology.
Key responsibilities
Clinical guidance: provide expert clinical input for the development and validation of clinical phenotypes within the Dexter platform.
Research collaboration: develop and deliver high-priority research projects using the using DEXTER on the above datasets, supported by technical and academic colleagues in BHP.
Engagement: act as a bridge between frontline clinical needs and technical data engineering teams to ensure research outputs are clinically relevant and actionable.
Training and communication: contribute to the development of a clinical and academic community engaged in approved use of data to improve patient care.
Who should apply?
We welcome interest from senior healthcare professionals in maternity and acute care backgrounds (including but not limited to: consultants, specialty registrars, senior midwives, pharmacists, AHPs, healthcare scientists, clinical academics) who:
- Have a strong interest in either medical informatics, data-driven research or quality improvement.
- Possess a working knowledge of, or wish to be trained on, the development of clinical phenotypes using structured data (e.g., SNOMED CT, ICD-10, OPCS DM&D), and observational research
- Can secure the support of their department for a 1-day-per-week commitment.
Why join us?
The collaboration places you at the heart of one of the UK’s leading Secure Data Environments and health partnerships. You will work alongside a multidisciplinary team of data scientists and researchers, gaining invaluable experience in automated health data research.
How to apply
Interested candidates should submit a short statement of interest (max 500 words) and a CV outlining:
- Your clinical background and area of expertise
- Your experience or interest in health data science and proposal of the broad areas of interest you would want to focus on
- Confirmation of departmental support for the time commitment
Deadline for submission: Thursday 6 August 2026.
Contact for enquiries and applications: Cassie Conway
