Lead Algorithm Engineer
GE HealthCare
full-time
Posted on:
Location Type: Office
Location: Madison • Wisconsin • United States
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Job Level
Tech Stack
About the role
- Drive innovation in acquisition, calibration, and analysis algorithms for advanced imaging systems
- 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
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
- 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
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Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
algorithm developmentimage processingsignal processingcalibration techniquesmachine learningdeep learningPythonC++TensorFlowPyTorch
Soft Skills
technical leadershipmentoringcollaborationcommunicationproject management
Certifications
Master’s degreePh.D.IEC 62304 knowledge