C

Clairo

Clinical trial endpoint technologies and management

Head of Research & Development - AI Integrations

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNo salary listedRemote

About the Job

Requirements

  • A bachelor's degree in an IT-related, scientific, or technical field, or equivalent professional experience.
  • 15 or more years of experience leading enterprise-level research and development organizations or large-scale strategic technology programs.
  • 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 environments such as AWS or Azure, including IaaS and PaaS, and leveraging cloud-native AI/ML services such as SageMaker or Azure AI.
  • Experience managing teams operating under formal Product and Development Lifecycles, including validation of AI models in regulated environments.
  • Demonstrated success in people leadership, leading geographically diverse teams, organizational development, and managing data science and engineering teams in complex environments.
  • Knowledge of enterprise solution architecture, data privacy (GDPR/HIPAA), and information security standards as they relate to large language models and data processing.
  • Strong analytical, decision-making, and problem-solving skills.
  • Familiarity with clinical data transfer, storage standards, and regulated software risk management for algorithmic decision-making.

Responsibilities

  • 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 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.
  • Maintain 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 technology.
  • 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.

Desired Qualifications

  • Knowledge of the evolving AI landscape and demonstrated experience implementing AI in a regulatory environment.
  • Experience in life sciences, clinical trials, or other regulated industries.

About the Company

Clairo

Clinical trial endpoint technologies and management

Clario provides clinical trial endpoint technologies, including software, connected devices, and artificial intelligence to collect and analyze data across cardiac safety, eCOA, medical imaging, precision motion, and respiratory endpoints. Its platform supports site-based, hybrid, and fully decentralized trials, gathering data from devices, questionnaires, and imaging, then processing and analyzing it to produce reliable clinical evidence, with integrated training and 24/7 support. The company differentiates itself with a broad end-to-end suite plus deep regulatory expertise and a global deployment network that enables rapid localization in 100+ languages. Its goal is to simplify the clinical trial process while improving patient safety and retention, promoting patient choice and diversity, and advancing health equity by prioritizing both physical and mental well-being.

Company size
5,001-10,000
Company stage
Acquired
Total funding
$29.9M
Headquarters
London, United Kingdom
Founded
1972

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