Design, develop, implement and validate innovative deep learning solutions addressing high-priority computer vision challenges in medical imaging
Collaborate closely with cross-functional teams of scientists, engineers, and clinicians to advance algorithm and product development to improve project outcomes
Clearly communicate complex technical methodologies and present findings to diverse audiences and stakeholders to support informed decision-making
Prepare and draft manuscripts outlining development methodologies to contribute to the scientific community

Requirements

Actively pursuing a PhD in a field related to deep learning and computer vision, such as computer science, medical informatics, biomedical engineering, electrical engineering, or a related discipline
Strong publication record with the ability to effectively communicate technical work to a broad audience
Fluency in English
Strong programming skills in Python and PyTorch
Demonstrated solid foundation in applying deep learning techniques for computer vision and image analysis, particularly in object detection and image segmentation
Experience working with histopathology data (whole slide images) is highly preferred
Experience working with JSON and pandas is preferred

Benefits

Company sponsored employee medical benefits
Sick time benefits: up to 40 hours per calendar year; for employees in Washington, up to 56 hours per calendar year
Participation in Company’s consolidated retirement plan (pension)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

deep learningcomputer visionimage analysisobject detectionimage segmentationPythonPyTorchJSONpandas

Soft Skills

communicationcollaborationpresentationtechnical writing