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Associate director, ai systems strategist (life sciences)

Planet Pharma
Publiée le 14 mars
Description de l'offre

Now Hiring: Associate Director, AI Systems Strategist (Life Sciences) Ghent, Belgium (Relocation supported) | 6‑month contract → potential permanent Open to candidates in Belgium or SwitzerlandAre you a life‑science technology leader with real experience shaping agentic or multi‑agent AI solutions in a regulated (GxP) setting? Do you excel at turning complex business needs into clear, actionable technical direction? If so, this role will put you at the centre of one of the most innovative AI build-outs in the industry.⭐ Why This Role MattersYou’ll act as the strategic bridge between scientific, operational, and engineering teams—designing and delivering agentic & multi-agent AI systems that truly scale across R&D, Development, and Commercial functions.We’re looking for someone who: Has hands-on experience developing or owning AI solutions inside a Pharma, Biotech, or Med Device organisation Understands GxP deeply enough to explain its operational impact to engineering, infrastructure, security, compliance, and quality Can assess and translate ambiguous business requirements into robust, production-ready AI specifications Is energised by cutting-edge AI (agentic frameworks, multi-agent workflows, orchestration, MLOps, cloud-native architecture) What You’ll Be DoingTranslate Business → AI EngineeringTurn strategic goals into system architectures, roadmaps, multi-agent workflows, and technical specificationsLead discovery on use cases, feasibility, and value for agentic AI solutionsDesign & BuildArchitect pilots using Azure, AWS, Snowflake, Databricks, and open-source frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI)Harden solutions for production with the right observability, reliability, and performance measuresBuy & IntegrateEvaluate external AI tools and embed them into enterprise systems and regulated workflowsEnsure interoperability, compliance, auditability, and scalabilityCollaborate EverywherePartner closely with: Engineering • Architecture • Infrastructure • Ops • Security • Quality • Compliance • Domain business teams Your Background✔ Experience in Pharma, Biotech, or MedTech (Med Device: must be internal systems—not wearable tech) ✔ Strong capability in AI Engineering, ML Engineering, Data Science, or Solution Architecture ✔ Fluent in cloud ecosystems (Azure ML/OpenAI, AWS Bedrock/SageMaker, Snowflake, Databricks) ✔ Hands-on understanding of multi-agent stacks and orchestration ✔ Comfortable discussing the real-world implications of GxP, including how you have adapted AI/ML solutions to regulatory constraints Soft Skills That Make You Stand OutHigh empathy and strong stakeholder communicationAbility to bring clarity to ambiguous environmentsPassion for emerging AI technologiesResilience, adaptability, and a solution-focused mindsetComfort leading brainstorming sessions—but not a line management role Example Projects You May OwnUsing ML to cut clinical development timelines—optimising site strategy, inclusion/exclusion criteria, and patient pool modellingIntegrating third‑party AI solutions into systems like Veeva to streamline workflows and reduce operational frictionBuilding early-phase prototypes and maturing them into scalable, enterprise-ready systems Travel & Location✈ Average travel to Ghent every other week Relocation package available: – Apartment for 3 months – Help from a relocation agency – Language courses – Tax advisory supportIf you’re passionate about shaping next-generation agentic AI in a regulated life‑science environment—and you thrive on both strategy and hands-on delivery—this is your opportunity. Interested? Message me directly for a confidential conversation.Planet Pharma is an equals opportunities Recruitment Business and Agency. We welcome applications from all suitably qualified candidates regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

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