Head of R&D – AI Integrations

🔥 45 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

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Clario

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1973

🏥 Healthcare

💼 Consulting

📦 Logistics

💰 Private Equity Round on 2019-10

Healthcare • Consulting • Logistics

Clario is a company specializing in accelerating clinical trials from initiation to implementation through advanced technologies and services. Since 2018, Clario has revolutionized endpoint analyses in clinical trials by integrating over 30 artificial intelligence-enabled solutions across more than 600 active trials, enhancing data quality and patient privacy while expediting data collection processes. Clario provides a comprehensive clinical trial management platform, offering solutions such as eCOA, cardiac safety, medical imaging, precision motion, and respiratory services in various therapeutic areas including oncology, cardiology, and neurology. Known for its global reach, Clario supports clinical trials in over 100 countries with a strong focus on decentralized and hybrid trial models. The company's commitment to patient safety and innovation is reflected in their over 26,000 trials and involvement in numerous new drug approvals.

📋 Description

• 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

• 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 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 • Knowledge of evolving AI landscape and demonstrated experience implementing AI in regulatory environment preferred. • Demonstrated success in people leadership, leading geographically diverse teams, 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

• 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