Clario, part of Thermo Fisher Scientific, is a global leader in clinical trial endpoint technology. We are seeking an Innovation Manager to help shape the future of Clario’s AI-enabled and data-driven solutions within regulated healthcare and clinical trial environments.
This role sits at the intersection of medical imaging, clinical trial workflows, AI innovation, and product strategy. The ideal candidate brings a strong understanding of imaging in clinical research and/or drug development, combined with the ability to identify innovation opportunities that create measurable value for sponsors, readers, and internal operations.
You will work closely with Medical, AI/ML, Product, and Engineering teams to identify unmet needs, explore AI-enabled solutions, and define innovation initiatives that improve clinical workflows, image interpretation processes, data quality, operational efficiency, and customer outcomes.
Partner closely with Medical, Product, AI/ML, and Engineering teams to identify innovation opportunities across Clario’s clinical trial and medical imaging ecosystem. A key part of the role is developing a deep understanding of imaging workflows, clinical trial operations, and reader and sponsor pain points in order to uncover opportunities for meaningful AI-enabled improvements and operational efficiencies.
You will lead discovery and concept development activities, translating unmet needs into clear problem statements, opportunity assessments, high-level solution concepts, and experiment or MVP proposals. The role also involves evaluating emerging technologies such as machine learning, generative AI, computer vision, and workflow automation, with a focus on practical and safe application within regulated healthcare environments.
Working closely with Medical and Imaging experts, you will ensure proposed solutions align with real-world clinical workflows and provide measurable value to customers and operational teams. You will partner with AI/ML and data science teams to understand current capabilities and limitations, brainstorm new AI-enabled features and services, and evaluate where AI can responsibly and effectively enhance existing and future products.
You will help define and maintain an innovation roadmap prioritizing initiatives based on clinical value, business impact, operational efficiency, technical feasibility, and strategic alignment. This role also includes facilitating discovery sessions and cross-functional workshops involving Medical, AI, Product, Engineering, and Commercial stakeholders.
For high-potential opportunities, you will define experiment and MVP charters that outline customer problems, assumptions, success metrics, risks, dependencies, and validation criteria. You will work closely with Product Owners to ensure innovation concepts are translated into actionable backlogs and delivery plans while maintaining alignment with the original business and clinical objectives.
You will analyze results from experiments, prototypes, and customer feedback to recommend whether initiatives should scale, pivot, or stop. In addition, you will prepare concise business cases and recommendations for leadership, clearly articulating opportunity size, operational and clinical impact, risks, and proposed next steps.
Bachelor’s degree in a relevant field such as Biomedical Engineering, Computer Science, Imaging Sciences, Life Sciences, Engineering, Data Science, or Healthcare Technology. An advanced degree is a plus.
7+ years of experience in healthcare technology, clinical trials, medical imaging, product strategy, innovation, R&D, or related environments.
Strong understanding of medical imaging workflows, clinical trial processes, imaging endpoints, drug development environments, or regulated healthcare technology. Experience working closely with clinical, medical, imaging, or scientific stakeholders is highly valued.
Strong AI and data literacy, including familiarity with machine learning, generative AI, computer vision, and workflow automation. The ideal candidate should be able to evaluate realistic healthcare use cases, limitations, risks, and opportunities associated with these technologies.
Proven ability to identify and shape innovative product or operational opportunities within complex healthcare or regulated environments, translating healthcare or operational pain points into validated concepts, pilots, MVPs, or scalable solutions.
Experience collaborating cross-functionally with AI/ML, Product, Engineering, and Medical teams, influencing without direct authority, and working effectively in Agile environments using experimentation and MVP methodologies.
Strong analytical, communication, and facilitation skills, with the ability to simplify complex technical and clinical concepts for diverse audiences and connect innovation initiatives to measurable business and operational outcomes.
Experience in clinical trials, medical imaging, life sciences, or regulated healthcare environments is strongly preferred and considered highly valuable for success in this role.
