Associate Principal – COAA Scientific AI Lead, Patient-Centered Solutions

🔥 15 hours ago

🌐 United Kingdom, Spain, +1 more countries – Remote

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⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Logo of IQVIA

IQVIA

10,000+ employees

💼 Consulting

🏭 Manufacturing

📣 Marketing

💰 $1G Post-IPO Debt on 2023-05

Consulting • Manufacturing • Marketing

IQVIA is a global leader in data analytics and technology solutions, dedicated to improving health outcomes. The company utilizes its Connected Intelligence platform to harness the power of advanced data analytics and artificial intelligence, facilitating innovation in healthcare. IQVIA focuses on various areas, including clinical research, technology, and consulting services to solve complex healthcare challenges and accelerate the delivery of new therapies to patients.

📋 Description

• Own the product vision, roadmap, prioritisation, and lifecycle management for AI-enabled COA selection and COA Accelerator capabilities • Translate strategic concepts into product capabilities, user journeys, workflows, release milestones, and measurable success criteria • Define target users, use cases, workflows, outputs, quality standards, adoption needs, and commercial value proposition • Prioritise capabilities across AI strategy generation, evidence retrieval, source citation, COA recommendation, endpoint selection, assessment schedule design, regulatory considerations, expert review, and report generation • Work with COA scientists, HEOR experts, strategy consultants, study teams, sponsors, commercial stakeholders, and clients to identify opportunities for AI-enabled workflows • Map current-state workflows and define product requirements for therapy area, indication, target product profile, mechanism of action, study phase, target population, endpoint objectives, geography, regulatory pathway, and intended use • Define expected outputs including recommended COAs, endpoint hierarchy, assessment schedule, rationale, evidence gaps, regulatory and payer considerations, and source-backed recommendations • Partner with AI engineers and COA experts to define quality criteria for AI-generated outputs • Define expert-review, feedback-capture, error-analysis, model-improvement, quality-monitoring, and product-refinement workflows • Prioritise knowledge sources including COA libraries, instrument metadata, psychometrics, clinical trial records, labels, HTA documents, regulatory correspondence, scientific literature, and internal consulting assets • Define metadata, traceability, citation, and source-inspection requirements • Serve as product-facing point of contact for internal stakeholders and selected client-facing discussions • Support demos, prototypes, pilots, business cases, training materials, internal enablement, onboarding workflows, and adoption planning • Define product positioning, packaging, differentiation, value story, and integration with the broader COA Accelerator • Lead cross-functional delivery across AI Engineering, Data Engineering, Software Engineering, COA Science, UX, Security, Legal, Compliance, Commercial, and client-facing teams • Own backlog prioritisation, requirements definition, sprint-planning input, acceptance criteria, release readiness, stakeholder communication, and product decision documentation

🎯 Requirements

• Degree in life sciences, health outcomes, clinical research, public health, biomedical sciences, data science, product management, technology, or a related field • Experience in COA strategy consulting, HEOR consulting, clinical outcomes research, eCOA, clinical trial technology, regulatory strategy, patient experience research, or medical evidence generation • Ability to translate complex workflows into product requirements, user journeys, and delivery plans • Strong stakeholder management skills • Ability to balance scientific rigour, user needs, commercial value, technical feasibility, governance requirements, and delivery constraints • Strong written and verbal communication skills • Strong prioritisation skills and ability to make pragmatic trade-off decisions • Ability to work independently in a remote or hybrid environment while collaborating across global teams • Experience with AI-enabled products, LLM applications, retrieval-augmented generation, knowledge management platforms, evidence synthesis tools, or clinical decision-support products is strongly preferred • Experience working with technical teams, including AI/ML engineers, data engineers, software engineers, UX designers, security teams, and platform teams • Experience in product management, AI product management, data product management, digital health, clinical technology, life sciences software, SaaS platforms, or technology enabled consulting offerings • Understanding of AI product risks is preferred • Experience working with proprietary content, licensed data, regulated content, client-specific knowledge repositories, or permissioned knowledge spaces • Experience with agile delivery, backlog management, roadmap planning, cross-functional release management, and acceptance criteria definition • Experience or willingness to build products for both internal enterprise users and external client users • Ability to analyse usage data, client feedback, adoption metrics, and qualitative insights • Comfort with Teams, Zoom, PowerPoint, whiteboarding tools, and product management platforms • Significant experience leveraging AI tools for work • Fluency in English • Please submit your CV in English • Please note we don't sponsor visa

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