Jobs at Our Future Health UK

Lead the integration of a UK-wide clinical and sample supply chain network. Assess demand, capacity, suppliers, costs, risks and geographic coverage; develop forecasting and capacity models; define supplier and procurement strategies; plan mobilization and contingencies; and establish governance, KPIs and performance management. Advise executive stakeholders on network design, investment, resilience and operational priorities across clinical services, logistics, laboratories and sample storage.

Lead complex, cross-functional technology programmes spanning engineering, architecture, security, product and operations. Establish delivery plans, governance, milestones and success measures; manage dependencies, risks, competing priorities and blockers; and communicate progress and decisions to senior leaders, executives and boards. The role also strengthens programme standards and portfolio visibility while supporting agile teams and structured delivery where needed.

Manage complex, cross-functional programmes by coordinating teams, plans, dependencies, risks, stakeholders, and delivery. The roles focus either on researcher experiences across operational, commercial, growth, and product functions, or participant engagement alongside Community Engagement and Product teams. Candidates should be pragmatic, highly organized, commercially or growth-minded, and comfortable operating in ambiguity and change. Greater experience is expected for the Researcher-focused role, while the Participant role welcomes developing programme managers.

Build and operate scalable public-cloud platforms supporting participant websites, high-volume health and genetic data processing, de-identification, and secure sharing with Trusted Research Environments. Responsibilities include infrastructure as code, GitOps, CI/CD, Kubernetes, distributed systems, cloud security, ETL tooling, production support, troubleshooting, and defining engineering practices in a growing team.

Build and operate scalable cloud platforms supporting websites, high-volume health and genetic data pipelines, and Trusted Research Environments. Responsibilities include infrastructure-as-code, GitOps, Kubernetes, production troubleshooting, platform improvements, service integration, architectural planning, incident reviews, code reviews, testing, coaching, and on-call support. The role partners with product and engineering teams to deliver reliable, secure systems at scale.

Partner with Commercial and Marketing to deliver market intelligence, customer segmentation, forecasting and commercial performance insights. Build data models, dashboards and reporting, improve CRM pipeline visibility, define commercial metrics, support forecasting and planning, and translate analysis into actionable recommendations to inform strategic decisions and drive revenue growth.

Full-stack mid-level engineer building and operating secure research environments (frontend, backend, infrastructure). Work includes Typescript/Node development, IaC (Terraform), Azure/Kubernetes, data modelling, operational management, and collaborating with cross-functional teams to enable secure researcher access to sensitive health data.

The Staff Engineer will lead architectural design for researcher operations systems, integrating SaaS components, and managing technical strategy while collaborating across teams.

Lead architectural and technical decisions for shared data-platform capabilities, combining hands-on software engineering with Staff-level technical leadership. Build scalable cloud-native systems and data pipelines, mentor engineers, collaborate with product and cross-functional stakeholders, integrate partner systems, and support live operations and incident response. The role focuses on reliable processing of large volumes of sensitive health and research data while improving engineering practices across multiple teams.

The Staff Analytics Platform Engineer will lead the architecture and development of a scalable analytics platform, focusing on Snowflake, ingestion pipelines, and technical mentorship.

Leads enterprise-wide data operations and governance, overseeing data acquisition, onboarding, quality, lifecycle, releases, security, privacy, compliance, and managed data services. Develops operating models, standards, controls, reporting, and scalable processes while coordinating Data Engineering, Legal, Security, Science, Product, suppliers, and public-sector partners. Manages and grows data management and governance teams, resolves complex operational issues, and ensures trusted, efficient data delivery for health research.

Design and build scalable pipelines to ingest, transform and harmonise large healthcare datasets into research-ready formats (OMOP/FHIR). Lead technical direction, implement data quality and governance, collaborate with data scientists and epidemiologists, and deliver reusable data products using cloud and big-data technologies.