Principal Data Science Analyst

The Orthopedic Surgery Technology Enhancement and Optimization (“OSTEO”) is a leading orthopedics group focused on developing and implementing innovative applications using artificial intelligence in the clinical setting.Data Scientists within OSTEO will have the opportunity to work with a vibrant group of surgeons and research personnel focused on transforming clinical orthopedic practice through the implementation and creation of artificial intelligence applications. This position will focus on (1) the creation of de novo applications, (2) the translation of clinically impactful models validated by the Orthopedic Surgery AI Lab (OSAIL), and (3) being a departmental resource on AI education and innovation.

• Participate in multidisciplinary teams to design, develop, implement, and validate pioneering AI-based approaches to solve complex data problems in orthopedics that impact the clinical practice directly.
• Optimize existing AI tools for use within the Department of Orthopedic Surgery.
• Create de novo AI tools specific to Orthopedic Surgery.
• Present findings to both technical and non-technical audiences to drive the implementation of developed tools.
• Work closely with departmental leadership to set strategy and vision for the OSTEO team.
• This individual will be expected to act as a peer mentor for others in the team.

• Experience working in the healthcare setting and a strong understanding of software as a medical device (SaMD).
• A proven ability to manage multiple concurrent projects effectively in a rapidly changing environment.
• Must demonstrate strong interpersonal and communication skills with the ability to work collaboratively with surgeons and other healthcare professionals to identify and solve complex problems. Proven ability to build relationships, influence stakeholders, and secure buy-in across multidisciplinary teams is essential.
• Fluency in Python, or another programming language used for data science
• A strong grasp of deep learning and machine learning fundamentals and frameworks (PyTorch, Scikit-Learn)
• Some exposure to database technologies, such as SQL.