Clario Logo

Clario

Head of R&D, AI Integrations

Posted 19 Days Ago
Be an Early Applicant
Remote
Hiring Remotely in Canada
Expert/Leader
Remote
Hiring Remotely in Canada
Expert/Leader
Lead global R&D to define technical strategy and roadmaps, prioritize AI-driven modernization, manage engineering and test teams, oversee AI/ML model validation in regulated clinical environments, own R&D budgeting and vendor partnerships, ensure regulatory compliance, and drive operational excellence and ethical AI adoption to improve clinical trial outcomes.
The summary above was generated by AI

Clario, a part of Thermo Fisher Scientific, is a global leader in clinical trial technology. We combine deep scientific expertise with the industry’s broadest endpoint collection platform to help pharmaceutical and biotechnology companies deliver life‑changing therapies to patients.

As we continue to scale, we are seeking a Head of Research & Development to lead the evolution of our global technology organization. This role serves as a key technical and organizational leader, responsible for shaping Clario’s long‑term engineering strategy while ensuring the stability, scalability, and quality of our current and next‑generation platforms, with a particular focus on the integration of Artificial Intelligence and Machine Learning to accelerate clinical outcomes.

What We Offer

  • 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

What You’ll Be Doing

  • 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

What We Look For

  • 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

At Clario, part of Thermo Fisher Scientific, our purpose is to transform lives by unlocking better evidence. It’s a cause that unites and inspires us. It’s why we come to work—and how we empower our people to make a positive impact every day. Whether you're advancing clinical science, building innovative technology, or supporting our global teams, your work helps bring life-changing therapies to patients faster.

Similar Jobs

2 Hours Ago
Easy Apply
Remote or Hybrid
CA
Easy Apply
Senior level
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Lead development and deployment of production-grade generative AI applications for sales enablement. Build copilots, automated outreach, and voice/chat interfaces; work across model experimentation, app development, and infrastructure; partner with revenue ops, product, and engineering to scale AI features that improve efficiency and personalization across the sales funnel.
Top Skills: APIsBackend SystemsEmbeddingsGongLangchainLatency ManagementLlmsMcpModel EvaluationObservabilityOpenai SdkOutreachPrompt EngineeringPythonRagRetrieval SystemsSalesforceStreaming Voice/Chat PipelinesVector Databases
3 Hours Ago
Remote or Hybrid
Canada
Senior level
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Natural Language Processing • Productivity • Software • Generative AI
Build and operate high-throughput backend services powering AI agent orchestration, connector integrations, and real-time data pipelines. Design core platform services, infrastructure-as-code, CI/CD, and scalable APIs. Collaborate with ML, frontend, and product teams to ship AI-powered features, mentor junior engineers, and maintain high availability for consumer and enterprise customers.
Top Skills: Ai Agent OrchestrationAWSAzureCi/CdClaude CodeCopilotCursorEvent-Driven ArchitectureGCPHigh-Throughput Api DesignInfrastructure As CodeReal-Time Systems
3 Hours Ago
Remote
Canada
Expert/Leader
Expert/Leader
Artificial Intelligence • Cloud • Consumer Web • Productivity • Software • App development • Data Privacy
Lead vision, strategy, and execution for Dropbox's next-generation design system and design technology platform. Build reusable patterns, components, tokens, and governance; partner with product, engineering, research, and brand; raise interaction, accessibility, and implementation quality; create adoption and measurement models; and develop a multidisciplinary team to scale coherent, high-quality multi-product experiences including AI-native capabilities.
Top Skills: Accessibility InfrastructureAi-Assisted ExperiencesComponent ArchitectureContent SystemsDesign SystemsDesign TechnologyDesign TokensFront-End EngineeringPrototyping Tools

What you need to know about the Montreal Tech Scene

With roots dating back to 1642, Montreal is often recognized for its French-inspired architecture and cobblestone streets lined with traditional shops and cafés. But what truly sets the city apart is how it blends its rich tradition with a modern edge, reflected in its evolving skyline and fast-growing tech industry. According to economic promotion agency Montréal International, the city ranks among the top in North America to invest in artificial intelligence, making it le spot idéal for job seekers who want the best of both worlds.

Key Facts About Montreal Tech

  • Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
  • Major Tech Employers: SAP, Google, Microsoft, Cisco
  • Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
  • Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
  • Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
  • Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account