Lead Algorithm Engineer

GE HealthCare•Madison, WI

About The Position

As a Lead Algorithm Engineer within GE Healthcare’s Bone & Metabolic Health (BMH) division, you will drive innovation in acquisition, calibration, and analysis algorithms for advanced imaging systems. This role combines expertise in AI-driven algorithm development with senior-level software engineering responsibilities, ensuring robust, scalable, and clinically impactful solutions. You will collaborate with cross-functional teams including clinical researchers, data scientists, and system engineers to deliver next-generation diagnostic capabilities.

Requirements

Master’s or Ph.D. in Computer Science, Biomedical Engineering, Electrical Engineering, or related field
8+ years of experience in algorithm development for medical imaging or related domains.
Strong proficiency in Python, C++, and frameworks such as TensorFlow, PyTorch
Expertise in image processing, signal processing, calibration techniques, and machine learning
Experience with software architecture, design patterns, and agile development methodologies

Nice To Haves

Familiarity with DICOM standards, PACS systems, and healthcare interoperability
Familiarity with Cybersecurity standards
Experience in FDA-regulated environments and knowledge of IEC 62304
Strong understanding of bone density measurement, metabolic health imaging, or DXA technology
Proven track record of leading technical projects and mentoring teams

Responsibilities

Algorithm Development & AI Integration Design, implement, and optimize algorithms for image acquisition, calibration, reconstruction, and quantitative analysis in bone and metabolic health applications
Develop calibration algorithms to ensure accurate and consistent measurements across imaging devices and patient populations
Leverage machine learning and deep learning techniques to improve image quality, reduce noise, and enhance diagnostic accuracy
Validate AI and calibration models using large-scale clinical datasets, ensuring compliance with regulatory standards
Conduct performance benchmarking and statistical analysis to ensure algorithm robustness and reliability
Software Engineering Leadership Lead the design and development of software components for algorithm deployment within GE Healthcare platforms
Ensure adherence to software development best practices, including code reviews, unit testing, and continuous integration
Collaborate with product management and system engineering to translate clinical and business requirements into technical specifications
Mentor junior engineers and contribute to technical leadership within the team
Cross-Functional Collaboration Work closely with hardware teams to optimize acquisition protocols and integrate algorithms into imaging workflows
Partner with clinical experts to validate algorithm performance and usability in real-world scenarios
Support regulatory submissions by providing documentation and evidence of algorithm performance and safety