VP, AI-Enabled Clinical Development

AI Strategy & Use Case Development

• Drive Medable's clinical AI use case library — mapping agentic AI, predictive analytics, and digital capabilities to sponsor pain points across trial design, patient recruitment, data quality, monitoring, and regulatory submission.
• Work collaboratively to define a prioritised AI use case roadmap, balancing near-term commercial wins with longer-horizon innovation investments.
• Lead structured use case development programmes with pharmaceutical, biotech, and CRO partners — from problem framing through value hypothesis, pilot design, outcome quantification, and commercial packaging.
• Develop and maintain AI value frameworks that quantify the clinical and commercial impact of Medable's capabilities, including enrolment acceleration, protocol deviation reduction, data integrity uplift, and regulatory submission efficiency.
• Translate platform capabilities — including autonomous agents, multi-agent orchestration, and human-in-the-loop workflows — into commercially articulate, audience-appropriate value narratives.
• Collaborate closely with product, engineering, and go-to-market teams to relay field insights and influence the AI product roadmap.

Commercial Positioning & Go-to-Market

• Develop differentiated AI value propositions for clinical research audiences, with clear articulation of how Medable's approach differs from competitor offerings.
• Partner with Sales and Marketing to create AI-focused commercial materials: use case playbooks, ROI calculators, executive briefing decks, and RFP response content.
• Support deal origination and expansion by participating in strategic customer conversations as a senior AI strategy subject matter expert.
• Contribute to business case development for new AI product investments, providing market evidence and commercial rationale.

Customer Partnership & Value Realisation

• Build trusted advisory relationships with Chief Digital Officers, VPs of Clinical Operations, and R&D Innovation leaders at key customer organisations.
• Partner with Customer Account teams to embed AI use case development into strategic account plans, ensuring AI-specific value milestones are defined and tracked.
• Establish and grow an externally recognised profile as an AI-in-clinical-trials thought leader through conference presentations, peer publications, advisory board participation, and industry working groups
• Develop and publish white papers, use case playbooks, and frameworks that position Medable as the definitive partner for AI-enabled clinical development.
• Monitor the competitive and regulatory AI landscape — including FDA/EMA guidance on AI/ML in clinical trials, ICH E6(R3), and CDISC AI initiatives — and advise internally on strategic implications.
• Represent Medable at industry forums and customer advisory boards as an executive voice on the future of AI in drug development.
• Other duties as assigned.

• 15+ years of experience in clinical research, drug development, or health technology, including a minimum of 3–5 years with a specific focus on AI strategy, digital innovation, or data science applied to clinical development; or a combination of education and experience.
• Demonstrable track record of developing and scaling AI or digital use cases with pharmaceutical, biotech, or CRO organisations — with clear evidence of commercial impact.
• Experience working across the full drug development lifecycle — early-phase design through late-phase, post-market, and regulatory submission.
• Familiarity with decentralised and hybrid trial models and eClinical technologies including EDC, ePRO, eConsent, CTMS, and RTSM, sufficient to engage meaningfully with technical counterparts on AI deployment contexts.
• Understanding of agentic AI architectures, LLM-based reasoning, and human-in-the-loop frameworks at a conceptual and strategic level.

• Strong conceptual grasp of AI/ML capabilities relevant to clinical research sufficient to define credible use cases and engage technical teams.
• Strong commercial acumen: ability to frame AI use cases in terms of trial cost reduction, timeline compression, data quality improvement, enrolment acceleration, and regulatory risk mitigation.
• Outstanding facilitation and executive engagement skills — comfortable leading strategic discussions with C-suite and VP-level stakeholders at global pharmaceutical and biotech companies.
• Excellent written and verbal communication skills, including white paper authorship, conference presentation, and external advisory contribution.
• Collaborative working style with the credibility to influence product, engineering, and commercial teams without direct authority.
• Analytical and data-driven mindset: able to define, track, and communicate value metrics at portfolio and account level.
• Adaptable and effective in a fast-paced, globally distributed organisation with evolving priorities.

• Bachelor’s degree.
• Master’s degree (preferred).

As required