GuideAI Health: Advancing AI in Vascular Care

Save lives, save limbs, and reduce healthcare costs
through AI-powered precision diagnostics.

Contact Top Talent Accelerant

Recruiter Contact

Darwin Shurig

Chief Executive Officer - Shurig Solutions

Schedule a Call

Company Overview

Industry

Medical Technology / Healthcare AI

Headquarters

Boston, MA

GuideAI Health is a cutting-edge medical imaging AI company dedicated to revolutionizing healthcare through advanced AI algorithms and machine learning models (e.g., CNNs, vision transformers, federated learning models). Our technology aims to assist healthcare providers in delivering more accurate diagnoses, guiding precise/personalized treatment, improving patient outcomes, and optimizing medical workflows.

GuideAl Health platform, built by and for clinicians, transforms cardiovascular diagnostics by augmenting radiologist expertise. Our advanced algorithms identify subtle disease markers (e.g., multifocal atherosclerotic lesions/ plaques), reducing human error to improve patient outcomes.

Our Saas solution focuses on early detection of chronic vascular disease (i.e., atherosclerosis in multiple vascular beds), the leading cause of disability and death globally (e.g., amputations, heart attacks and strokes). Our 1st product addresses peripheral vascular disease, a highly misdiagnosed and underdiagnosed condition affecting 230M+ individuals around the world. By translating raw imaging data into structured reports that seamlessly integrate with existing workflows, GuideAl Health instantly activates actionable insights to enhance surgical precision and personalized care.

Video with Hiring Manager

Opportunity Synopsis

GuideAI Health was founded by clinicians with a mission to improve early detection and diagnosis of chronic vascular disease. As interventional radiologists, we've witnessed firsthand failures to identify life-threatening disease, which is why we've designed advanced AI models to address this critical gap.

Our AI-powered platform is the first solution targeting peripheral vascular disease (PVD), which affects 230 million worldwide. By detecting subtle disease markers often missed by the human eye, we enable earlier and more effective diagnosis and treatment to save lives, limbs, and healthcare costs.

As the company moves to the next stage of it’s journey, we are looking for a Chief Technology Officer that has the ability to lead and guide our current team to hit current key deliverables, help map the path for new clinical indications, share the GuideAI Health Vision with KOLs, stakeholders, at conferences, and with the board, as well as, hire, mentor, and develop the team as the company continues its evolution

Job Summary

Key Responsibilities

Key Requirements

Job Summary

As the CTO/CIO, you will be responsible for:

Defining and executing the technical vision and strategy for our medical imaging AI platform.
Working closely with cross-functional teams, including data scientists, engineers, regulatory experts, and leading clinicians to develop and scale our AI-powered medical imaging solutions.
Driving innovation (in the context of clinical translation and commercialization), ensuring the highest standards of technical excellence, and facilitating the successful deployment of our AI solutions worldwide.
Articulating and defining technology deliverables and milestones to the development team, holding accountable the Director(s) of product development to meet these ends.
Reporting directly to the CMO and Chairman of the GuideAI, Inc Board of Directors to ensure alignment with GuideAI Health's clinical vision and Go-to-Market strategies.

Key Responsibilities

Strategic Leadership

Technology Vision & Strategy: Develop and communicate the long-term technical vision and strategy for the company, aligning with business objectives and healthcare industry/stakeholder needs.
AI & Medical Imaging Innovation: Drive innovation in AI models, algorithms, and imaging technologies, with a focus on enhancing accuracy, speed, and scalability of medical imaging solutions in alignment with clinical stakeholders.
R&D Oversight: Lead R&D efforts to explore and integrate new technologies, methodologies, and advancements in AI, machine learning, and computer vision within medical imaging.
Partnerships & Collaborations: Forge strategic partnerships with research institutions, healthcare providers, technology vendors, and regulatory bodies to accelerate product development and adoption.

Team Leadership & Development

Team Building & Mentorship: Build, lead, and mentor a high-performing technical team, including data scientists, software engineers, machine learning specialists, and imaging experts.
Cross-Functional Collaboration: Foster a collaborative culture between engineering, product, clinical teams, and other stakeholders to ensure the delivery of clinically impactful solutions.
Talent Development: Ensure continuous professional growth of technical team members through training, workshops, and industry engagement, including providing appropriate feedback and improvement strategies for GuideAI team members.

Product Development & Deployment

Technical Execution: Oversee the technical design, development, and deployment of AI models for medical imaging, ensuring they meet clinical standards, regulatory requirements, and industry benchmarks.
Regulatory Compliance: Ensure that AI solutions comply with healthcare regulations such as HIPAA, FDA approvals, CE marking, and other global healthcare certifications.
Scalability & Reliability: Ensure that the platform is scalable, secure (i.e., cybersecurity), and reliable for healthcare organizations, facilitating widespread adoption in clinical environments.

Customer & Market Focus

Customer Needs: Work closely with product and sales teams to understand customer pain points and translate them into actionable technical solutions.
Market Trends & Competitor Analysis: Stay ahead of industry trends, competitive landscape, and evolving technologies to ensure the company’s solutions remain at the forefront of the medical imaging AI space.

GuideAI Health Worldwide Technology Spokesperson

Presentations: Develop compelling and engaging presentations on a wide range of technology topics relevant to the company and industry trends.
Articulating Company Vision: Craft impactful narratives and utilize effective storytelling techniques to communicate complex ideas and engage a diverse audience.
Public Speaking: Deliver clear, concise, and persuasive presentations with confidence and enthusiasm.
Thought Leader: Represent the organization as a technology expert and thought leader, building industry credibility and fostering valuable relationships.
Influencer: Participate in panel discussions, workshops, and other interactive formats to share insights, collaborate with peers, and contribute to the broader industry dialogue.
Lifelong Learner: Stay abreast of emerging technologies and industry trends to inform presentations and discussions, ensuring the organization’s relevance and competitive edge.
Engagement: Leverage visual aids and multimedia effectively to enhance engagement and convey complex information in an easily understandable format.

Key Requirements

The Right Talent

At least 10+ years of Medtech experience with relevant roles as a CTO leading product strategy.
Leadership experience hiring, mentoring, and building teams while hiring for cultural fit.
Experience leading stakeholders for regulatory submissions strategy including FDA interactions.
Ability to lead platform strategy for risk management and scalability interfacing AI/ML, imaging, and applicable clinical decision making.
Drive the software development lifecycle under IEC 62304, ISO 13485, ISO 14971, and FDA QMSR to ensure successful regulatory submission and inspection readiness.
Strategic thinker and ability to partner with executive leadership on future clinical indications with strength in medical imaging workflows.
Establish secure-by-design processes and ensure compliance with the FDA’s evolving cybersecurity expectation.
Ability to move in a fast-paced environment with previous start-up and/or strategic scale-up experience.

Experience:

Proven experience as a CTO, CIO, VP of Engineering, or Head of Technology in a healthtech, medical device, or AI-focused company.
Extensive experience with artificial intelligence, machine learning, deep learning, and computer vision in the context of medical imaging or healthcare.
Experience leading the development of AI-driven medical imaging software or diagnostic tools, ideally with familiarity in radiology, pathology, or other medical fields.
Deep understanding of healthcare regulations (e.g., HIPAA, FDA, CE) and the intricacies of building AI solutions that meet these standards.

Skills & Expertise:

Technical Leadership: Strong leadership in building scalable AI platforms, with expertise in software development, cloud technologies, and high-performance computing.
AI & Machine Learning: Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch) and computer vision techniques used in medical imaging.
Product Management: Ability to collaborate with product and clinical teams to translate business needs into actionable technology solutions.
Clinical Understanding: Familiarity with the clinical environment, including collaboration with medical professionals to understand the needs of healthcare providers.
Regulatory Knowledge: In-depth knowledge of the FDA’s regulatory process, medical device software classification, and compliance with international standards for medical devices and healthcare data.
Innovation & Research: Strong background in driving innovation and research in a fast-evolving field, with a keen interest in emerging technologies.

Education:

A PhD or Master’s degree in Computer Science, Engineering, Bioinformatics, Biomedical Engineering, or a related field. A strong preference for advanced degrees with a focus on AI, medical imaging, or healthcare technology.

Preferred Qualifications:

Experience in clinical research or collaboration with healthcare institutions.
Patent holder or publications in the field of medical imaging AI.
Familiarity with AI frameworks for interpretability and bias mitigation in healthcare applications.