Top Tech Jobs & Startup Jobs in London

Own and improve the researcher experience across a Trusted Research Environment and related products. The Product Manager will research user needs, shape product strategy, prioritize roadmaps, define success measures, analyze evidence, and collaborate with engineering, design, science, data, governance teams, and DNAnexus. The role requires translating complex scientific and technical workflows into user-centered product decisions while operating responsibly in a regulated health research environment.

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.

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.

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.

Manage day-to-day finance operations including AP/AR, month-end close, cashflow forecasting, VAT returns, audits support, team development, process improvement and cover for senior finance duties.

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