Head of Population Health Sciences
| Posting date: | 20 January 2026 |
|---|---|
| Salary: | £85,431.00 to £97,148.00 per year |
| Additional salary information: | £85431.00 - £97148.00 a year |
| Hours: | Full time |
| Closing date: | 25 January 2026 |
| Location: | London, SE1 7NJ |
| Company: | NHS Jobs |
| Job type: | Contract |
| Job reference: | C9196-26-0071 |
Summary
Leadership and performance management: Apply strong leadership and substantial expertise across the fields of population health and data sciences, advising executive and other senior leaders. Conduct effective engagement with senior stakeholders throughout the South-East London and London population healthcare ecosystem, to understand areas of strategic and consensus focus. Develop and deliver the strategy for population health sciences including data science, analytics, evidence synthesis, and evaluation, towards Learning Health System capabilities. Work closely with clinical teams to determine key decision points that can be positively impacted by data-driven insights, and which align to local pressures and wider strategic priorities. Lead the development and application of advanced analytics to support anticipatory care and other data-driven decision processes. Establish the systematic use of metrics and monitoring systems to evaluate effectiveness of data-driven initiatives, including across key performance indicators related to healthcare delivery and healthcare inequalities. Establish new governance frameworks for predictive technologies, including through collaboration with relevant regulatory authorities To deputise for the Head of Population Health Hub, in matters of population health sciences Team activity and stakeholder management: To maintain oversight of the staff within the population health sciences team, including escalating issues as necessary, monitoring project progress, and managing professional concerns. Responsible for the direction of team administration, including managing leave requests, contract changes, recruitment, budget and financial management, and employee on boarding. Strategic and operational development of the team, including collaboration with the CMO and other corporate and clinical groups to establish necessary analytic resource Trust-wide. Including the development and implementation of business cases and resource allocation. Collaborate with PHH team to design a capabilities strategy to develop Trust wide competency in population health sciences. To develop and present complex population data sets and analyses in a way that facilitates understanding and drives action To identify, engage and work with all relevant stakeholders to build a platform for the delivery of education and training in the field of population sciences, data and analytics, to both clinical and non-clinical staff Design, facilitate and lead workshops, stakeholder events and project meetings with a wide range of stakeholders Risk & Governance: Develop and manage the implementation ofsystems, control processes and risk management arrangements to support monitoring of compliance with data governance standards and other relevant Trust-wide policies and processes and best practice requirements Manage the resolution of complaints and issues from, staff, suppliers, other internal and external service providers and partner organisations in a timely and appropriate manner in line with Trust policy, procedures and service delivery values and priorities Develop Trust wide processes and policies for the design, development and implementation of population sciences and data analytics and novel approaches for example data terminologies and archiving solutions in a range of environments and manage local implementation Prepare and deliver accessible and meaningful briefing reports for corporate bodies up to and including the Trust Board in relation to the functions and performance of the faculty. Design and implement facilitating processes, such as Information governance and data access across GSTT and partners to support and encourage adoption of data driven population health analytics and data science across the organisation and partnerships. Proactively identify and address, in partnership with relevant stakeholders, information governance, access and other barriers to the responsible and proportionate use of population health data within agreed parameters. Develop and champion, in partnership with relevant stakeholders, streamlined transparent processes for data access and linkage that support timely access to population health data within legal and statutory requirement Staff Management: Provide senior leadership of the population sciences team and influence population data related service design and delivery across the organisation Responsible for ensuring that the workforce is appropriately utilised and long-term service needs are appropriately planned for in terms of staffing levels and skill mix Line manage, coach and develop staff and conduct their annual performance appraisal in conjunction with the Head of Population Health Hub Financial Management: Responsible for ensuring that financial obligations are met and staff work within defined budget parameters and that they comply with the Trusts Standing Financial Instructions. Act as an authorising signatory for capital and revenue budgets within limits agreed with the CMO Strategy, Change Management and Service Improvement: To be responsible for devising and implementing methods for highly complex information collection, analysis and presentation that meet the specification of the end user/client. This will include information gathering where data is difficult to get and interpret To be responsible for making informed recommendations to end-users that are based on credible evidence including the analysis of highly complex data Use data to present evidence and recommendations for strategy, system and service change to several audiences including Board and executive, clinical leads and staff, directors, end users. Use data-driven presentations to challenge existing work practices and beliefs for varying audiences, who may be sceptical or even antagonistic. To devise and provide specialist training in population health data analysis and interpretation, implementation, evaluation, and continuous improvement R&D, Teaching & Training: Utilise Population health analytical methodologies, terminologies and processes for ensuring high quality population health-informed data analytics used across the Trust Manage the development and implementation of R&D relevant for population health, teaching and training programmes within the faculty.