About The Position

The Scientist, Advanced Clinical Innovation Partnerships is responsible for leading clinical data, AI-enabled innovation, and co-creation initiatives with strategically selected hospital partners across the Western United States. Operating at the intersection of clinical practice, artificial intelligence, and product innovation, this role supports the advancement of Image-Guided Therapy (IGT) Systems by translating unmet clinical needs into validated, scalable solutions aligned with the organization’s value propositions and innovation roadmap.

Requirements

  • 3+ years of experience in the medical device and/or medica imaging industry, with specific experience in the image-guided therapy (IGT) domain, including technologies used to guide minimally invasive procedures in cardiology and/or interventional radiology.
  • Prior industry experience in a customer-facing or partnership-oriented role is a must.
  • Working knowledge and practical experience with AI-enabled solutions and data-driven innovation in clinical or research settings.
  • Strong interpersonal, communication, and stakeholder management skills, with the ability to effectively engage with physician investigators, clinical researchers, hospital administrators, R&D, product and marketing teams, and commercial stakeholders.
  • Master’s degree (required) in biomedical sciences, biomedical engineering or a related discipline, with a demonstrated experience aligned to the scope and responsibilities of the role.
  • Demonstrated ability to work both independently and collaboratively, with a hands-on, execution-oriented mindset and strong project management skills.
  • Willing and able to travel up to 60% as required by business needs.
  • Must be able to successfully perform the following minimum Physical, Cognitive and Environmental job requirements with or without accommodation for this position.
  • PST time zone required.
  • US work authorization is a precondition of employment. The company will not consider candidates who require sponsorship for a work-authorized visa, now or in the future.

Nice To Haves

  • 5+ years preferred experience in the medical device and/or medica imaging industry, with specific experience in the image-guided therapy (IGT) domain, including technologies used to guide minimally invasive procedures in cardiology and/or interventional radiology.
  • Proven experience designing, executing, or supporting clinical investigations in hospital environments preferred.
  • PhD/MD strongly preferred.

Responsibilities

  • Serve as the primary clinical and scientific partner for strategic accounts across the Western United States, establishing trusted relationships with physician leaders, administrators, researchers, and Key Opinion Leaders in interventional cardiology and/or interventional radiology.
  • Support clinical and innovation activities at select partner institutions, including ideation workshops, feasibility assessments, and early validation efforts, translating unmet clinical needs into prioritized AI-enabled opportunities aligned with business strategy.
  • Enable clinical data acquisition and AI development by supporting the deployment and use of data-sharing infrastructure, cloud-based platforms, and advanced sensing capabilities at strategic sites.
  • Design, coordinate, execute, and or support scientific research and validation programs, including concept studies, feasibility work, and collaborative research or sponsor-supported studies, using rigorous protocols to demonstrate scientific merit, clinical impact, and workflow value in line with Clinical Development Strategy.
  • Drive cross-functional execution and regional impact by collaborating closely with engineering, product, regulatory, legal/IP, marketing, and strategy teams to ensure effective governance, program momentum, evidence generation, and translation of clinical insights into product roadmaps and customer value.

Benefits

  • generous PTO
  • 401k (up to 7% match)
  • HSA (with company contribution)
  • stock purchase plan
  • education reimbursement
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