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

🕒 vor 12 Tagen

🌐 Vereinigtes Königreich, Spanien, +1 weitere Länder – Remote

🇬🇧 Vereinigtes Königreich – Remote 🇪🇸 Spanien – Remote 🇵🇹 Portugal – Remote

⏰ Vollzeit

🟠 Senior

🤖 KI-Ingenieur

🇬🇧 UK-Skilled-Worker-Visum-Sponsor

Dieses Unternehmen hat in der Vergangenheit UK-Skilled-Worker-Visa gesponsert.

👻 Geisterscore 10%

Was es bedeutet: die Wahrscheinlichkeit, dass für diese Stelle niemand wirklich einstellt.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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IQVIA

WebsiteLinkedInAlle Stellen

10.000+ Mitarbeiter

💼 Beratung

🏭 Fertigung

📣 Marketing

💰 €1.000.000.000 Post-IPO Debt im 2023-05

Consulting • Manufacturing • Marketing

IQVIA ist ein weltweit führendes Unternehmen in den Bereichen Datenanalytik und Technologielösungen, das sich der Verbesserung von Gesundheitsergebnissen verschrieben hat. Das Unternehmen nutzt seine Connected Intelligence-Plattform, um die Kraft fortschrittlicher Datenanalyse und künstlicher Intelligenz zu nutzen und Innovationen im Gesundheitswesen zu fördern. IQVIA konzentriert sich auf verschiedene Bereiche, darunter klinische Forschung, Technologie und Beratungsdienste, um komplexe Herausforderungen im Gesundheitswesen zu lösen und die Bereitstellung neuer Therapien für Patienten zu beschleunigen.

Beschreibung

• 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

🎯 Anforderungen

• 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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