Data Scientist - Operations Research

Responsibilities

• Algorithm Development & Research
• Develop algorithms for image analysis, including segmentation and registration
• Develop and implement machine learning and deep learning algorithms for image-guided surgery research
• Apply optimization, computer vision, and image analysis techniques to complex image registration problems
• Define and compute key model performance metrics
• Design and conduct rigorous laboratory and clinical experiments to test hypotheses and validate models
• Collaboration & Clinical Translation
• Collaborate and consult with surgeons, engineers, and data scientists to define and resolve analytical problems
• Work in multidisciplinary research related to systems engineering, technology development, and data-intensive surgical methods
• Support translational research in image-guided surgery, orthopaedic surgery, and neurosurgery
• Communicate with research and clinical stakeholders to share findings and best practices
• Data Analysis & Software Development
• Design, develop, and implement research algorithms and software solutions
• Analyze and interpret large medical imaging datasets to identify trends and patterns
• Work with medical image datasets, PACS, and hospital information systems
• Provide ongoing support for existing software systems as they evolve
• Reporting, Presentation & Professional Engagement
• Communicate results clearly in written and oral formats for technical and non-technical audiences
• Present research findings at internal and external meetings and scientific conferences
• Prepare final reports in required formats by established deadlines
• Stay current with advances in image-guided surgery, image analysis, and optimization techniques
• Learn new methods and support others in the adoption of emerging techniques

Qualifications

• Required: Bachelor's Degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Mechanical Engineering, Computer Science, Statistics, Computational Biology, or related field.
• Preferred: Master's Degree Science, Engineering or related field.
• Preferred: PhD Science, Engineering or related field.
• Required: 3 years Scientific software or industry development/analysis experience.
• Required: 1 year Required experience with Master's degree.
• Required: With PhD, no experience required.
• Other Requirements: Demonstrated experience with computing or programming using Python, Matlab, R, C++, Java, and or SQL, experience with machine learning and deep learning methods including neural network design, experience with statistical analysis, familiarity with modern object-oriented programming languages such as Python, C++, and or Java, experience with open source image analysis, image guidance, and optimization packages such as 3D Slicer, VTK, ITK, and IGT Link, experience with large scale mixed-integer linear programming, experience working with medical image data sets, PACS, and hospital information systems, ability to communicate results clearly in written and oral formats, ability to explain technical concepts to non-technical stakeholders, and ability to work independently and manage multiple projects simultaneously.