Head of R&D, AI Integrations

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.