Job description

Job Summary AI/ML & Computer Vision Lead is responsible for the identification, evaluation, and integration of artificial intelligence and computer vision capabilities across Hologic's GYN Surgical capital platforms, including ultrasound-guided fibroid ablation, hysteroscopy consoles, and associated imaging and visualization systems. This role serves as the primary technical and strategic interface between internal R&D teams, external AI and imaging technology partners, and cross-functional stakeholders in Clinical, Regulatory, Quality, Marketing, and Business Development. The position is responsible for shaping the division's AI application roadmap, managing external vendor engagements from evaluation through productization, and ensuring AI-enabled features are developed in compliance with applicable regulatory and design control requirements. Essential Duties and Responsibilities • Identify, assess, and prioritize opportunities to apply AI and computer vision within GYN surgical procedures and capital equipment, in collaboration with software, systems, and clinical engineering teams • Translate clinical and workflow needs into well-defined technical problem statements with measurable success criteria • Lead technical evaluation of external AI, imaging, and data partners, including definition of evaluation criteria, comparative assessment, and formal recommendations to leadership • Manage ongoing vendor relationships, including proof-of-concept scoping, milestone tracking, deliverable review, and issue escalation • Partner with Business Development, Legal, and Procurement on statements of work, intellectual property terms, and data ownership and portability provisions • Facilitate cross-functional alignment on AI initiatives across R&D, Clinical, Regulatory Affairs, Quality, and Marketing • Prepare and deliver technical and strategic recommendations to divisional leadership and the Steering Committee • Collaborate with Regulatory Affairs to define submission strategy for AI-enabled features, including predicate identification, predetermined change control plans, and alignment with FDA guidance on AI/ML-enabled medical devices • Define requirements for training, validation, and test datasets, including data sourcing, annotation processes, and dataset governance • Ensure AI and ML components are integrated into existing design control, risk management (ISO 14971), software lifecycle (IEC 62304), and cybersecurity processes • Provide technical guidance and mentorship to engineering staff on AI and computer vision methods, evaluation practices, and industry developments • Monitor the external landscape of AI technologies, standards, and competitive products relevant to the division's product portfolio • Perform other duties as assigned Qualifications Education • Bachelor's degree in Computer Science, Electrical Engineering, Biomedical Engineering, or a related technical field required • Master's degree or PhD preferred Experience • Minimum 8 years of engineering experience in medical devices, medical imaging, or a comparable FDA-regulated industry • Minimum 3 years of direct experience developing, evaluating, or integrating AI or computer vision technologies • Demonstrated experience managing external technology vendors or development partners through evaluation, contracting, and delivery • Experience working within a design controls environment and with FDA regulatory pathways (510(k), De Novo) • Experience presenting technical recommendations to senior leadership Preferred • Experience with ultrasound, endoscopy, or other intra-procedural imaging modalities • Direct involvement in a regulatory submission for an AI- or ML-enabled device feature • Experience with clinical data collection, annotation workflows, and dataset management • Familiarity with real-time or embedded imaging system architectures • Working knowledge of IEC 62304, ISO 14971, IEC 60601, and FDA Good Machine Learning Practice principles Skills and Competencies • Sufficient technical depth in machine learning and computer vision to critically assess vendor claims, model performance data, and validation reports • Strong cross-functional leadership and facilitation skills, with the ability to drive decisions across engineering, clinical, and business functions • Clear written and verbal communication, with the ability to adapt content for executive, clinical, and engineering audiences • Strategic thinking with the ability to balance technical feasibility, clinical value, regulatory burden, and business priorities • Negotiation skills and sound judgment in commercial and intellectual property discussions • Ability to operate independently in ambiguous environments and establish structure where needed Travel Up to 15% domestic and international travel to partner sites, clinical locations, and industry events. Work Environment and Physical Requirements Standard office and laboratory environment. Occasional work in engineering labs with medical device prototypes and imaging equipment. Equal Opportunity Statement Hologic is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. So why join Hologic? We are committed to making Hologic the company where top talent comes to grow. For you to succeed, we want to enable you with the tools and knowledge required and so we provide comprehensive training when you join as well as continued development and training throughout your career. We offer a competitive salary and annual bonus scheme, one of our talent partners can discuss this in more detail with you. If you have the right skills and experience and want to join our team, apply today. We can’t wait to hear from you! Additional Info: The annualized base salary range for this role is $128,200 - $200,500 and is bonus eligible. Final compensation packages will ultimately depend on factors including relevant experience, skillset, knowledge, geography, education, business needs and market demand. Agency and Third-Party Recruiter Notice: Agencies that submit a resume to Hologic must have a current executed Hologic Agency Agreement executed by a member of the Human Resource Department. In addition, Agencies may only submit candidates to positions for which they have been invited to do so by a Hologic Recruiter. All resumes must be sent to the Hologic Recruiter under these terms, or they will not be considered. Hologic, Inc. is proud to be an Equal Opportunity Employer inclusive of disability and veterans. #LI-RT1 #Hybrid AI/ML & Computer Vision Lead is responsible for the identification, evaluation, and integration of artificial intelligence and computer vision capabilities across Hologic's GYN Surgical capital platforms, including ultrasound-guided fibroid ablation, hysteroscopy consoles, and associated imaging and visualization systems. This role serves as the primary technical and strategic interface between internal R&D teams, external AI and imaging technology partners, and cross-functional stakeholders in Clinical, Regulatory, Quality, Marketing, and Business Development. The position is responsible for shaping the division's AI application roadmap, managing external vendor engagements from evaluation through productization, and ensuring AI-enabled features are developed in compliance with applicable regulatory and design control requirements.

Requirements

Must-haves

Essential Duties and Responsibilities
Identify, assess, and prioritize opportunities to apply AI and computer vision within GYN surgical procedures and capital equipment, in collaboration with software, systems, and clinical engineering teams
Translate clinical and workflow needs into well-defined technical problem statements with measurable success criteria
Lead technical evaluation of external AI, imaging, and data partners, including definition of evaluation criteria, comparative assessment, and formal recommendations to leadership
Manage ongoing vendor relationships, including proof-of-concept scoping, milestone tracking, deliverable review, and issue escalation
Partner with Business Development, Legal, and Procurement on statements of work, intellectual property terms, and data ownership and portability provisions
Facilitate cross-functional alignment on AI initiatives across R&D, Clinical, Regulatory Affairs, Quality, and Marketing
Prepare and deliver technical and strategic recommendations to divisional leadership and the Steering Committee
Define requirements for training, validation, and test datasets, including data sourcing, annotation processes, and dataset governance
Ensure AI and ML components are integrated into existing design control, risk management (ISO 14971), software lifecycle (IEC 62304), and cybersecurity processes
Provide technical guidance and mentorship to engineering staff on AI and computer vision methods, evaluation practices, and industry developments
Monitor the external landscape of AI technologies, standards, and competitive products relevant to the division's product portfolio

Nice-to-haves

Master's degree or PhD preferred
Experience with ultrasound, endoscopy, or other intra-procedural imaging modalities
Direct involvement in a regulatory submission for an AI- or ML-enabled device feature
Experience with clinical data collection, annotation workflows, and dataset management
Familiarity with real-time or embedded imaging system architectures
Working knowledge of IEC 62304, ISO 14971, IEC 60601, and FDA Good Machine Learning Practice principles
Skills and Competencies
Sufficient technical depth in machine learning and computer vision to critically assess vendor claims, model performance data, and validation reports
Strong cross-functional leadership and facilitation skills, with the ability to drive decisions across engineering, clinical, and business functions
Clear written and verbal communication, with the ability to adapt content for executive, clinical, and engineering audiences
Strategic thinking with the ability to balance technical feasibility, clinical value, regulatory burden, and business priorities
Negotiation skills and sound judgment in commercial and intellectual property discussions

Application prep

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Keywords to mirror

aimlmachine learning

Platform: oracle-cloud
Effort: medium

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