Springbok Analytics spun out of the University of Virginia based on multiple years' research on advanced MRI, biomechanics and sports injury
Craig Meyer | Co-Founder and CEO
Silvia Blemker | Co-Founder and Vice-President
Joe Hart | Co-Founder
Xue Feng | CTO
Daniel Podlisny | Segmentation Engineer
Supported by the National Science Fondation
Are you interested in joining a dynamic startup environment and building the world’s most complete muscle analytics platform? We are seeking creative image processing engineers, data scientists, interns, and entrepreneurs who can help us to achieve our goal.
Research Scientist - Medical Image Processing
The candidate will work with the team to develop and implement medical image processing algorithms including registration, segmentation and analysis, etc.
The candidate will work with the team on a web-based medical image processing platform. The platform needs to have basic web functionalities as well as Dicom file handling and APIs for advanced image processing and visualization.
Image Segmentation Engineer
The candidate will use knowledge of anatomy and image processing techniques to accurately trace and validate the muscle contours from high resolution images.
Springbok is looking for full-time and part-time interns to work on sports data analytics. We are seeking hard-working undergraduate and graduate students with a background in engineering, computer programming, biomechanics, kinesiology, or related fileds.
Compensation and Benefits | Springbok, Inc. is an equal opportunity employer and offers a competitive compensation package and benefits.
Location | Charlottesville, Virginia, USA
To Apply | Send your cover letter and CV to email@example.com
Interested in learning more about how our muscle profiles could help you and your players? Give us a call or send us an email and we will get back to you as soon as possible.