About The Position

Clario, part of Thermo Fisher Scientific, is seeking a Head of Research & Development to lead the evolution of its global technology organization. This senior technical and organizational leadership role shapes long-term engineering strategy while ensuring the stability, scalability, and quality of current and next-generation platforms, with particular emphasis on integrating artificial intelligence and machine learning to accelerate clinical outcomes. The role leads global, multidisciplinary software development and engineering test teams, translates strategic objectives into R&D roadmaps, and balances ongoing platform operations with innovation in AI-augmented products. It also oversees global R&D budgets and resources, talent development, regulatory quality, customer escalations, vendor relationships, and transparent reporting on delivery, risk, and the return on AI/ML initiatives. The position supports technology used in clinical trials and regulated environments, with an emphasis on ethical AI, compliance, privacy, and security.

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, leveraging cloud-native AI/ML services such as SageMaker or Azure AI.
  • Strong background managing teams operating under formal Product and Development Lifecycles, including validation of AI models in regulated environments.
  • Demonstrated success in people leadership, geographically diverse team leadership, organizational development, and management of 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 LLMs and data processing.
  • Strong analytical, decision-making, and problem-solving skills.
  • Familiarity with clinical data transfer and storage standards, and regulated software risk management for algorithmic decision-making.

Nice To Haves

  • 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.

Responsibilities

  • Partner with executive leadership to define product architecture, company vision, and long-term technical strategy, prioritizing AI-driven platform modernization.
  • Translate strategic objectives into global R&D roadmaps and identify opportunities for generative AI and predictive modeling to enhance endpoint collection.
  • Lead global, multidisciplinary software development and engineering test teams in delivering high-quality, well-architected solutions incorporating AI/ML frameworks.
  • Maintain existing platforms while expanding next-generation AI-augmented product offerings.
  • Own global R&D budget planning and resource management, including investment in AI infrastructure, data science talent, and emerging technology.
  • Foster a high-performance culture emphasizing technical excellence, innovation, accountability, and ethical AI application in clinical settings.
  • Oversee administrative R&D functions, including specialized AI/ML talent acquisition, professional development, and technical training.
  • Ensure compliance with SOPs and SWIs and promote consistent quality and regulatory adherence for AI-enabled medical software.
  • Serve as a senior escalation point between customers, Operations, and Engineering, incorporating 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.

Benefits

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