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Serve as first point of contact for participants via phone and email, support registration/consent/questionnaires, troubleshoot issues, handle queries and complaints with empathy, escalate complex cases, collaborate with internal and external teams, train new staff, and compile and present participant data and reports to stakeholders.

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

Design, develop and tune threat-led detections using KQL and Microsoft Sentinel. Collaborate with the threat team and MSP SOC, implement detection-as-code/CI-CD, tune DLP and Insider Risk controls in Purview, support automation and reporting (Sentinel workbooks), document designs, and help maintain ISO 27001 compliance.

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.

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

Senior individual contributor responsible for end-to-end technology spend oversight: reporting, forecasting, budget tracking and governance across cloud, SaaS and AI. Drive cost optimisation, enforce tagging and allocation standards, build dashboards, manage SaaS licensing and vendor spend, partner with Technology and Finance, and promote cost-aware engineering to improve efficiency without impacting delivery.

The Senior Data Scientist will enhance clinical trial recruitment through data products and services, liaising between teams to develop efficient analytics and technologies, ensuring trust in a regulated environment.

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.