Jobs at LOGEX International Healthcare Analytics B.V.

Support execution of multi-market B2B marketing campaigns: build and optimize HubSpot landing pages and email workflows, assist content and asset coordination, analyze campaign and website performance, contribute to SEO/GEO and AI search initiatives, and help manage email, web and LinkedIn channel activities.

Manage day-to-day financial administration for Dutch and UK entities: billing, invoices, payment runs, supplier invoice processing, expense review, bank reconciliations, month-end support, balance sheet reconciliations, and process improvements while collaborating with controllers and auditors.

Define and deliver AI strategy, architecture, and standards. Design production-ready solutions (retrieval, orchestration, model serving, evaluation). Implement MLOps/LLMOps, governance, compliance (GDPR), and embed AI into products working with product, engineering, data, and platform teams.

Own and prioritise the clinical intelligence roadmap, build and harmonise pan-European clinical data assets (classifications, benchmarks, mappings), onboard new data sources, apply AI for extraction and quality, maintain the RWE common data model, and establish governance to support Provider Analytics and Real-World Data products.

Build and ship in-product AI capabilities: integrate LLMs and RAG, design prompting and evaluation, implement MLOps/LLMOps, ensure production reliability, privacy, and compliance, and collaborate with data, platform and product teams to move AI from prototype to production.

Define and evolve the enterprise data architecture and roadmap, set standards for modelling, integration, interoperability and storage, embed governance, lineage, security and compliance, support analytics and AI, provide technical leadership and reviews, evaluate tooling, and drive integration of acquired businesses to reduce fragmentation and technical debt.

Design, build, and maintain the internal data warehouse and scalable data pipelines. Integrate data from multiple sources, develop and maintain Snowflake data models, configure Workato integrations, ensure data quality and performance, make data accessible for reporting and analytics, and contribute to DWH architecture and best practices while collaborating with stakeholders.