Head of R&D – AI Integrations

Clario

Head of R&D leading AI integrations in clinical trial technology at Clario. Overseeing engineering strategy, product architecture, and AI-driven modernization efforts.

Posted 5/1/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

AWSAzureCloud

About the role

Key responsibilities & impact

Partner with executive leadership to define product architecture, company vision, and long‑term technical strategy, prioritizing AI-driven modernization across the platform
Translate strategic objectives into actionable global R&D roadmaps, identifying key opportunities for Generative AI and predictive modeling to enhance endpoint collection
Lead global, multidisciplinary software development and engineering test teams to deliver high‑quality, well‑architected solutions that incorporate AI/ML frameworks
Balance innovation and operational excellence by maintaining existing platforms while expanding next‑generation, AI-augmented product offerings
Own global R&D budget planning and resource management, ensuring adequate investment in AI infrastructure, data science talent, and emerging tech
Foster a high‑performance culture focused on technical excellence, innovation, accountability, and the ethical application of AI in clinical settings
Oversee administrative R&D functions, including talent acquisition for specialized AI/ML roles, professional development, and technical training
Ensure rigorous compliance with SOPs and SWIs, promoting consistent quality and regulatory adherence for AI-enabled medical software
Act as a senior escalation point between customers, Operations, and Engineering, integrating feedback into the software development lifecycle to refine AI model performance
Provide transparent reporting on delivery status, risk mitigation, and the ROI of AI/ML initiatives
Build and manage strategic relationships with technology partners and vendors to enhance internal AI capabilities and cloud-native services

Requirements

What you’ll need

Bachelor’s degree in an IT‑related, scientific, or technical field, or equivalent professional experience
15+ years of experience leading enterprise‑level R&D organizations or large‑scale strategic technology programs
Proven experience managing the full product engineering lifecycle using Agile methodologies with a focus on MLOps and CI/CD for AI
Extensive experience delivering solutions in hybrid cloud (AWS/Azure), IaaS, and PaaS environments, specifically leveraging cloud-native AI/ML services (e.g., SageMaker, Azure AI)
Strong background managing teams operating under formal Product and Development Lifecycles, including the validation of AI models in regulated environments
Demonstrated success in people leadership, organizational development, and managing data science and engineering teams in complex environments
Deep knowledge of enterprise solution architecture, data privacy (GDPR/HIPAA), and information security standards as they relate to large language models (LLMs) and data processing
Strong analytical, decision‑making, and problem‑solving skills
Experience in life sciences, clinical trials, or other regulated industries preferred
Familiarity with clinical data transfer, storage standards, and regulated software risk management for algorithmic decision-making

Benefits

Comp & perks

Opportunity to lead global, enterprise‑scale technology teams delivering mission‑critical clinical trial solutions
A collaborative, high‑impact environment focused on innovation, quality, and patient outcomes
Competitive compensation and comprehensive benefits aligned to U.S. market practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI-driven modernizationGenerative AIpredictive modelingAI/ML frameworksMLOpsCI/CDcloud-native AI/ML servicesenterprise solution architecturedata privacyinformation security standards

Soft Skills

people leadershiporganizational developmentanalytical skillsdecision-makingproblem-solvinginnovationaccountabilitytechnical excellencecommunicationrelationship management