Principal Data Science Analyst

Mayo Clinic • Rochester, MN

5h

About The Position

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. Principal Data Science Analysts for this position will: 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. To be successful, the candidate must have: 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. Qualifications A Master's degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of five years of professional or research experience in data science. The preferred candidate will possess a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of three years of professional or research experience in data science and statistical/machine learning packages. Additional Qualifications Post-graduate degree (MS, PhD, or MD, completed or near completion) in biomedical data science, informatics, computer science, engineering, statistics, computational biology, or a related field, with a background or interest in imaging Strong record of distinguished scholarly achievement Outstanding communication and presentation skills with fluency in spoken and written English

Requirements

• 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.
• A Master's degree in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative and a minimum of five years of professional or research experience in data science.

Nice To Haves

• The preferred candidate will possess a PhD in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of three years of professional or research experience in data science and statistical/machine learning packages.
• Post-graduate degree (MS, PhD, or MD, completed or near completion) in biomedical data science, informatics, computer science, engineering, statistics, computational biology, or a related field, with a background or interest in imaging
• Strong record of distinguished scholarly achievement
• Outstanding communication and presentation skills with fluency in spoken and written English

Responsibilities

• 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.
• Act as a peer mentor for others in the team.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level