Lead AI Engineer

ppJoin to apply for the bLead AI Engineer /b role at bIQVIA /b. /p h3About IQVIA Patient Finder /h3 pIn a world where information is instantly accessible, hospitals remain an exception. Electronic Health Record (EHR) systems are designed to support clinical workflows, but they often fall short when it comes to secondary data usage—such as identifying patients for clinical trials, conducting medical research, or assessing care quality. bIQVIA Patient Finder /b bridges this gap. Our search engine empowers medical professionals to find patient cohorts and extract meaningful insights, all while strictly adhering to privacy regulations. Currently deployed in over 40 hospitals across the Netherlands and Belgium, Patient Finder is expanding internationally. As a scale‑up within a global organization, we offer the best of both worlds: a proven product and the freedom to innovate. /p h3Role Overview /h3 pWe’re looking for a bLead AI Engineer /b who is passionate about improving healthcare through cutting‑edge technology. You’ll lead a team of 4–6 AI engineers, shaping the roadmap, driving innovation, and contributing hands‑on to development. You’ll work on impactful projects such as Generative AI, Named Entity Recognition/Linking (NER/NEL), multilingual NLP, and continuous learning on complex healthcare datasets. This is a unique opportunity to define the future of AI in healthcare—balancing technical leadership with strategic vision. /p h3Key Responsibilities /h3 ul liLead and grow the AI team, fostering a culture of collaboration, learning, and excellence. /li liContribute directly to the codebase and serve as the primary liaison with other development teams. /li liDrive internationalization of NLP components to support multiple languages. /li liOwn work intake, prioritization, and line management of the AI team. /li liGuide projects from concept to production‑ready solutions. /li liCollaborate closely with the Product Owner to define deliverables and milestones. /li liResearch and apply state‑of‑the‑art NLP and ML methodologies. /li liEnsure AI components integrate seamlessly with our search engine and data warehouse. /li /ul h3Requirements /h3 ul li6+ years of industry experience in AI/NLP. /li liStrong software engineering skills, especially in integrating AI into production systems. /li liProven leadership experience, including mentoring and team management. /li liExpertise in supervised and unsupervised learning, deep learning, and NLP. /li liAbility to communicate complex concepts clearly to cross‑functional teams. /li liExperience with production‑grade ML/NLP deployments. /li liStrategic thinking around data science product planning under uncertainty. /li liHolistic understanding of ML pipelines within larger systems. /li liStrong problem‑solving and critical thinking skills. /li liAbility to read and implement ideas from scientific papers. /li liProficiency in Python for ML/NLP tasks; other languages (e.g., R, Go, Rust, Java) are a plus. /li liExcellent English communication skills (written and verbal). /li /ul h3Nice to Have /h3 ul liExperience in healthcare, life sciences, clinical trials, or pharmaceutical data. /li liBased in the Netherlands, to occasionally join in‑person team and company activities. /li /ul h3About Us /h3 ul liThe Patient Finder team includes ~30 professionals across App, Data, and AI/ML squads, plus QA, Deployment, Support, and Consultancy. /li liWe’re part of IQVIA’s broader healthcare product portfolio across EMEA. /li liFlexible work environment: choose between office, home, or hybrid. We host monthly team days and some squads meet weekly. /li /ul pIQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more: /p /p #J-18808-Ljbffr