GE HealthCare · 2 days ago
Lead Algorithm Engineer
GE HealthCare is seeking a Lead Algorithm Engineer within their Bone & Metabolic Health division to drive innovation in imaging systems. This role involves developing advanced algorithms for image acquisition and analysis, collaborating with cross-functional teams to enhance diagnostic capabilities.
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Responsibilities
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
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
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
Qualification
Required
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
Preferred
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
Benefits
Relocation Assistance Provided
Company
GE HealthCare
GE Healthcare provides a wide range of medical technologies and services to healthcare providers and researchers. It is a sub-organization of General Electric.
Funding
Current Stage
Public CompanyTotal Funding
$5.52BKey Investors
Bill & Melinda Gates Foundation
2024-11-07Post Ipo Secondary· $1.17B
2024-09-12Post Ipo Secondary· $1.29B
2024-02-16Post Ipo Secondary· $1.07B
Leadership Team
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