Principal Data Science Analyst-Orthopedic Surgery
Principal Data Science Analyst-Orthopedic Surgery
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Job Description
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 within a vibrant group of surgeons and research personnel focused on transforming the clinical orthopedic practice through the implementation and creation of artificial intelligence applications. This position will have the opportunity to work with the Orthopedic Surgery AI LAB (OSAIL) to implement projects with clinical impact.
Data Science Analysts for this position will:
- Participate in multidisciplinary teams to design develop implement and validate pioneering AIbased 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.
- Creation of de novo AI tools.
Qualifications
**This position is not eligible for visa sponsorship. Also Mayo Clinic DOES NOT participate in the F1 STEM OPT extension program**
To be successful the candidate must have:
- Experience working in the healthcare setting and a strong understanding of software as a medical device (SaMD).
- 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 buyin 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 ScikitLearn)
- Exposure to Database technologies such as SQL
A Masters 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.
Required Experience:
Staff IC
Employment Type
Full-Time
