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

This is a fully remote position, open to applicants in United Kingdom, +2 more countries.

📋 Description

• Take ownership of the product vision, roadmap, prioritization, and lifecycle management for AI-powered COA selection and COA Accelerator functionalities.

• Convert strategic ideas into tangible product capabilities, user journeys, workflows, release milestones, and measurable success metrics.

• Identify target users, use cases, workflows, outputs, quality benchmarks, adoption requirements, and the commercial value proposition.

• Prioritize features across AI strategy generation, evidence retrieval, source citation, COA recommendations, endpoint selection, assessment schedule design, regulatory considerations, expert review, and report generation.

• Collaborate with COA scientists, HEOR professionals, strategy consultants, study teams, sponsors, commercial stakeholders, and clients to uncover opportunities for AI-driven workflows.

• Analyze existing workflows and define product specifications for therapy areas, indications, target product profiles, mechanisms of action, study phases, target populations, endpoint objectives, geographies, regulatory pathways, and intended usage.

• Establish expected outputs including recommended COAs, endpoint hierarchy, assessment schedules, rationales, evidence gaps, regulatory and payer considerations, and source-validated recommendations.

• Partner with AI engineers and COA specialists to establish quality criteria for AI-generated outputs.

• Develop workflows for expert review, feedback collection, error analysis, model enhancement, quality monitoring, and product refinement.

• Prioritize knowledge sources such as COA libraries, instrument metadata, psychometrics, clinical trial records, labels, HTA documents, regulatory correspondence, scientific literature, and internal consulting assets.

• Specify metadata, traceability, citation, and source-inspection requirements.

• Act as the product-facing point of contact for internal stakeholders and participate in selected client-facing discussions.

• Assist with demos, prototypes, pilots, business cases, training materials, internal enablement, onboarding workflows, and adoption strategies.

• Define product positioning, packaging, differentiation, value proposition, and integration with the overall COA Accelerator.

• Lead cross-functional collaborations involving AI Engineering, Data Engineering, Software Engineering, COA Science, UX, Security, Legal, Compliance, Commercial, and client-facing teams.

• Manage backlog prioritization, requirements specification, sprint-planning input, acceptance criteria, release readiness, stakeholder communication, and product decision documentation.

⛳️ Requirements

• A 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.

• Capacity to convert intricate workflows into product specifications, user journeys, and delivery plans.

• Excellent stakeholder management abilities.

• Skill in balancing scientific integrity, user requirements, commercial viability, technical feasibility, governance standards, and delivery constraints.

• Strong written and verbal communication capabilities.

• Exceptional prioritization skills and the ability to make practical trade-off decisions.

• Capability to work autonomously in a remote or hybrid setting while collaborating with global teams.

• Preferred experience with AI-enabled products, LLM applications, retrieval-augmented generation, knowledge management platforms, evidence synthesis tools, or clinical decision-support products.

• Background in 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 services.

• Understanding of AI product risks is advantageous.

• Familiarity 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 defining acceptance criteria.

• Willingness to develop products for both internal enterprise users and external clients.

• Ability to analyze usage data, client feedback, adoption metrics, and qualitative insights.

• Proficiency with Teams, Zoom, PowerPoint, whiteboarding tools, and product management platforms.

• Significant experience utilizing AI tools in professional settings.

• Fluency in English.

• Please submit your CV in English.

• Note that we do not sponsor visas.

🏝️ Benefits

• Opportunities for professional development and career advancement.

• Collaborative and innovative work environment.

• Flexible work arrangements.

• Comprehensive health and wellness benefits.