Top Tech Jobs & Startup Jobs

Design, evaluate, and productionize LLM-based AI products for oncology data. Create custom evaluations, analyze model outputs, collaborate with clinicians and engineers, and support product improvement, monitoring, and stakeholder communication.

Lead product strategy and lifecycle for oncology clinical workflow applications. Partner with engineering, design, and clinical stakeholders to build data-driven and AI/ML-enabled solutions, ensure regulatory and safety compliance, define KPIs, and drive product discovery, launch, and iteration to improve clinical efficiency and patient outcomes.

Build, deploy, and maintain production-grade AI-powered automations that connect systems and automate processes. Partner with stakeholders to scope requests, write integration code, monitor workflows, troubleshoot failures, and document solutions for maintainability.

Coordinate and monitor abstraction operations for a remote clinical abstraction workforce. Track KPIs, analyze trends, recommend workflow improvements, collaborate cross-functionally, and support projects to improve efficiency and reliability of unstructured-to-structured clinical data abstraction.

Design and build complex, business-critical data pipelines and tooling; expand Deep Learning and LLM extraction for clinical insights; collaborate with clinicians, product, and scientists; shape team roadmaps and grow European engineering; iterate rapidly while maintaining quality, security, and compliance with healthcare data requirements.

Design and build complex, business-critical data pipelines and ML/LLM-powered clinical extraction systems. Collaborate with clinicians, product, and global engineering teams to scale solutions, maintain quality and security, and help grow the European engineering organization while developing UK healthcare domain knowledge.

Lead the development and maintenance of integrations with health partners, manage data sources, and enhance oncology infrastructure, ensuring operational excellence and collaboration across teams.

Maintain operational tools and metrics to support real-world evidence deliveries; transform data into actionable insights using statistical methods and visualizations; build and support dashboards and data tools; run ad-hoc analyses, experiments, and predictive models; collaborate with cross-functional stakeholders and operations teams to prioritize and improve processes.

Design, build, automate, and operate cloud-native network infrastructure to ensure reliability, performance, and observability. Drive test-driven infrastructure changes, support office networking, participate in on-call rotations, incident escalations, code/config reviews, and produce documentation and playbooks for the engineering organization.

Design, develop, and deploy secure software and data pipelines to transform patient data into real-world evidence. Build web apps and scalable automated pipelines, ensure data quality and tests, address security and privacy constraints, and occasionally deploy and operate solutions at hospital partner sites.