About Us
Today, we are more hungry than ever for data on our sleep, heart rate, training, recovery, genetics, you name it. But getting any insights into what is really happening in our bodies has been elusive. The 100 year old physical just does not cut it anymore. Prenuvo is a whole body MRI scan in under an hour - enhanced by AI. It allows you to move from a passenger to a driver by taking charge of your health. We are a mission driven company and the brand that pioneered the use of advanced MRI using AI to proactively screen for cancer and disease. Based on over 10 years of clinical research, Prenuvo can detect solid tumors at Stage 1 and over 500 other health conditions, leading to much better health outcomes for its patients. Prenuvo operates preventative screening clinics in Vancouver, Silicon Valley, Dallas, Boca Raton, Minneapolis, and Los Angeles. New York City and Chicago will be opening soon! Boston, Atlanta, Seattle, and Washington DC will be opening later this year.
The Opportunity
We are changing healthcare and bringing a slow moving goliath of an industry into the present while blazing a trail into the future of radiology and clinical operations through software, automation and AI. We are seeking a talented and motivated Machine Learning Applied Scientist to join our team and help us advance our mission!
As a Machine Learning Applied Scientist, you will be responsible for designing, implementing, and evaluating machine learning models for a variety of applications, with a focus on addressing challenges related to label noise, unsupervised learning, and diffusion denoising. In this role, you will collaborate closely with other members of our AI team, as well as with radiologists, product managers, and support engineers, to build end-to-end analytics solutions that deliver actionable insights to our customers. We are open to applicants from either of our HQ locations: Vancouver, BC or San Francisco, California
What You'll Do
What You'll Bring
Nice to Have:
Our Values
What We Offer
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
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