Senior Specialist Data Analyst
11 hours ago
Southampton
University Hospital Southampton NHS Foundation Trust is delighted to offer a fantastic opportunity to work with us. Job Title: Senior Specialist Data Analyst Contract Type: Permanent This is an exciting opportunity to join our team in a growing Data & AI team within the Research & Development department at University Hospital Southampton NHS Foundation Trust, as a Senior Research Analyst. Working within the Southampton Emerging Therapies and Technologies (SETT) Centre, you will combine advanced analytical and data engineering expertise with line management responsibilities, leading a group of analysts and data engineers to deliver high-quality research data projects. Our team supports clinical and academic research through the extraction, processing and analysis of routinely collected healthcare data, developing innovative tools and infrastructure to expand research capacity and improve patient outcomes. You will play an important role in managing research project delivery, overseeing technical quality, developing colleagues and improving team processes and capabilities. Working collaboratively with SETT Data & AI leadership, you will also contribute to the team’s strategic development and help shape how we deliver data‑driven research across the Trust. The SETT Data & AI team works to drive future transformation in patient care through the streamlined extraction of high quality data at scale, and the application of state of the art analytical techniques to drive research. By developing a data landscape friendly to research, we aim to expand Trust-wide research capacity and improve patient outcomes through helping to shape the future of medicine. This is a creative and rapidly evolving unit within the hospital’s R&D environment, and successful candidates will have the exciting opportunity to help shape its direction and long‑term aims. As one of the largest acute teaching Trusts in England, we offer learning and development opportunities to help you achieve the career you aspire to. UHS is rated ‘Good’ by the CQC and in the latest national NHS Staff Survey, we were in the top 10 acute trusts for staff engagement and for staff recommending the hospital as a place to work or receive care. • We support flexible working and will consider requests taking into account the needs of the service., • UHS employees are able to access a range of NHS discounts, are entitled to a minimum of 35 days paid holiday (pro rata), and we offer a generous pension scheme. Southampton is an attractive place to live and work situated on the south coast, with an international airport and direct trains to London. The New Forest National Park and beaches of the Jurassic coast are also right on our doorstep. The city offers living costs 30% lower than London and 17 schools rated outstanding by Ofsted. We believe that using technology wisely shows strong time management and commitment to innovation. However, personalising your recruitment application to highlight your unique skills and experiences is crucial. Relying too heavily on generic, AI‑generated content instead of drawing from your own strengths and accomplishments may lead to your application being rejected if multiple candidates present identical or similar information. The successful candidate will be responsible for leading the delivery of complex research data analysis and engineering projects, alongside providing line management and technical leadership to a group of analysts and data engineers within the Data & AI team. You will oversee project development and delivery, maintain high technical standards, support staff development and contribute to the ongoing improvement of the team’s capabilities and working practices. The Data & AI team works closely with clinical and academic researchers across University Hospital Southampton and partner organisations, supporting a diverse portfolio of research projects using routinely collected healthcare data. Our work ranges from developing automated data extraction and transformation pipelines to undertaking advanced analytical studies, building innovative research tools and improving the infrastructure that enables research at scale. Through this work, we aim to expand research capacity, support scientific discovery and ultimately improve patient outcomes. • People leadership and operational management: Provide line management to a group of analysts and data engineers, including workload allocation, recruitment, performance management, appraisals, staff wellbeing and professional development. Coordinate team capacity and competing priorities, support colleagues through technical guidance and mentoring, and exercise delegated responsibility for day‑to‑day operational decisions., • Research project development and delivery: Develop and manage a pipeline of research data projects, guiding enquiries from initial Expression of Interest through feasibility assessment, scoping, resource estimation and prioritisation into active delivery. Oversee the analytical and engineering delivery of allocated projects, coordinating staff and resources, monitoring progress, managing risks and dependencies, and working closely with researchers and research delivery teams to ensure projects meet their scientific and technical requirements., • Technical and analytical leadership: Lead and undertake complex analyses of routinely collected NHS healthcare data, alongside the design and development of robust, reproducible data extraction, transformation and processing pipelines across clinical information systems. Provide technical oversight, team guidance, and quality assurance of analytical and engineering outputs, including code review, testing, validation and documentation, while supporting the adoption of consistent technical standards and high‑quality development practices., • Infrastructure, governance and service development: Contribute to the design and improvement of research data infrastructure, analytical tooling, development environments and automation capabilities to enable efficient and scalable study delivery. Help develop and embed team processes, policies and technical standards through training, mentoring and knowledge‑sharing, ensuring appropriate information governance and research compliance. Collaborate with SETT Data & AI leadership to inform service strategy, improve operational processes and. We are looking for a motivated and experienced analyst or data engineer who combines strong technical expertise with leadership skills and an interest in advancing healthcare research. The following skills and experience would position you well for this role: • Advanced analytical and engineering expertise: Educated to degree level in a numerate or scientific discipline, alongside substantial professional experience in data analysis or data engineering with strong SQL and Python skills, experience working with complex datasets, and a sound understanding of reproducible data processing, software development and quality assurance., • Leadership and people management: Experience of managing or supervising staff or coordinating technical work, while supporting professional development and maintaining hig Essential criteria • Educated to master’s level or equivalent experience relevant to the role, • Evidence of on‑going professional development relevant to the role, • Evidence of current and ongoing Good Clinical Practice (ICH/GCP) training, • Experience in research management, • Significant clinical research experience in a health or relevant commercial sector, • Extensive experience in database management and development, • Extensive knowledge and laboratory expertise in management and storage of biological materials, • Experience in managing teams, • Detailed knowledge of the changes in funding and research management within the NHS and in particular relating to the CRN and NIHR portfolio, • Extensive knowledge of current clinical trials regulations and guidelines, including the Human Tissue Act and biobanking ethics and governance, • Awareness of current national systems and structures for the approval, management and monitoring of clinical research, • Experienced in reviewing paperwork relating to research to extract information required for a specific purpose, • Understanding of accountability R&D issues in the NHS, • Experience working in a large teaching hospital or University Essential criteria • Patient First, • Working Together, • Always Improving #J-18808-Ljbffr