Machine Learning Applied Scientist - Vancouver, Canada - Prenuvo

Prenuvo
Prenuvo
Verified Company
Vancouver, Canada

1 week ago

Sophia Lee

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Sophia Lee

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Description

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

What You'll Do

  • Collaborate with other members of our AI team, as well as with radiologists, product managers, and support engineers, to build endtoend analytics solutions that deliver actionable insights to our customers
  • Participate in code reviews and help ensure that code quality and best practices are maintained across the team
  • Work with crossfunctional teams to ensure that our data science solutions are well integrated with other products and services

What You'll Bring

  • Master's or PhD degree in Computer Science, Statistics, Mathematics, Physics, or a related field
  • 3+ years of industry experience in machine learning or related field
  • Strong background in machine learning, deep learning, and computer vision
  • Experience with unsupervised learning techniques such as autoencoders, generative models, and contrastive learning
  • Experience with label noise mitigation techniques, such as coteaching or mentorguided learning
  • Familiarity with transformerbased architectures such as BERT or GPT
  • Experience with diffusion denoising techniques
  • Strong programming skills in Python and proficiency with popular machine learning libraries such as PyTorch or TensorFlow
  • Strong communication and teamwork skills

Nice to Have:

  • Familiarity with cloud computing platforms such as AWS or Google Cloud
  • Experience with medical imaging and/or healthcare data
  • Strong publication record in toptier machine learning or computer vision conferences/journals

Our Values
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We empower:


  • We are all agents for change in transforming healthcare and in transforming our health
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We work together:


  • We work together to support and deliver the best for our members and ourselves
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We bring transparency
  • Positive change comes from transparency in where we stand as a company, as colleagues and as Prenuvo members

What We Offer

  • An avenue to make a positive impact on people's lives and their health
  • We believe in preventative healthcare for everyone, including our team
  • Prenuvo provides free, wholebody scans to each team member
  • Growth opportunities are at the heart of our people journey, we're doing big things with bright minds there is no single path to success, it can be shaped along the way
  • Building strong relationships is at the core of everything we do our team gets together each week to connect, share, and socialize
  • Recognizing time away to restore is vital to our wellbeing we have a flexible vacation policy and we will encourage you to use it
  • We offer a comprehensive benefits package including health, dental, vision, including Mental Health coverage, to support you and your family
  • 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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