Lead AI Algorithm Developer at GE HealthCare

Haifa, Haifa District, Israel -

Full Time

Start Date

Immediate

Expiry Date

28 Mar, 26

Salary

0.0

Posted On

28 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Development, Machine Learning, Computer Vision, Statistical Methods, Python, C++, Medical Imaging, Algorithm Development, Collaboration, Problem Solving, Leadership, Technical Design, Verification Plans, FDA Submission, Research, User Interface

Industry

Hospitals and Health Care

Description

Job Description Summary The Staff Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. Job Description Job Description GE HealthCare is a leading manufacturer of medical imaging devices. We are looking for an exceptional Lead AI Algorithm Developer to join our Algorithm team for Point of Care Ultrasound in Haifa site. GE HealthCare is a leading global medical technology and digital solutions innovator. Our mission is to improve lives in the moments that matter. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world. Responsibilities: Leading advanced AI projects including scoping, requirements definition, strategic decisions, and timelines. Collaboration with cross-functional teams, guiding algorithmic tasks, and fostering technical discussions. Developing and implementing machine learning and computer vision clinically focused algorithms, from understanding the clinical needs, through research and development of novel technologies to integration into product environment. Participation in leading feature development activities including defining workflows and user interface requirements, leading technical design review and support conducting verification plans and FDA submission. Advance the research agenda of the team you work on, while also collaborating with peers across the organization. Requirements: Demonstrated problem-solving and leadership skills. M.Sc. or Ph.D. in Electrical Engineering, Computer Science, Biomedical Engineering or Mathematics from a leading university or equivalent work experience. Proven hands-on 5+ years experience in computer vision AI development for industrial applications. Demonstrated ability to write Python and C++ code towards building robust, efficient, scaled-up software systems. Experience with medical imaging and application on mobile platform would be a strong advantage Desired qualities Self-starter and willingness to learn Good communication skills Good system level understanding Inclusion and Diversity GE HealthCare is an Equal Opportunity Employer where inclusion matters. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. We expect all employees to live and breathe our behaviors: to act with humility and build trust; lead with transparency; deliver with focus, and drive ownership – always with unyielding integrity. Our total rewards are designed to unlock your ambition by giving you the boost and flexibility you need to turn your ideas into world-changing realities. Our salary and benefits are everything you’d expect from an organization with global strength and scale, and you’ll be surrounded by career opportunities in a culture that fosters care, collaboration and support. #LI-TM1 Additional Information The job is open to men and women equally Relocation Assistance Provided: No At GE HealthCare, we see possibilities through innovation. We’re partnering with our customers to fulfill healthcare’s greatest potential through groundbreaking medical technology, intelligent devices, and care solutions. Better tools enabling better patient care. Together, we are not only building a healthier future but living our purpose to create a world where healthcare has no limits.

Responsibilities

Lead advanced AI projects, including scoping, requirements definition, and strategic decisions. Develop and implement machine learning and computer vision algorithms focused on clinical needs and integration into product environments.