Career

Data Scientist

Vancouver HQ · Temporary · Intermediate

About The Position

A Career at Clarius

Today, as many as 25 million medical professionals globally don’t have access to medical imaging, which is proven to improve patient care and reduce healthcare costs. That’s why we’re on a mission to make medical imaging accessible everywhere by delivering high-performance, affordable, and easy-to-use solutions powered by artificial intelligence and connected to the cloud.

By making Clarius your next career move, you’re joining a team of 150+ people who are talented, innovative, and highly collaborative. You’re also joining a community that includes thousands of physicians worldwide who use Clarius to deliver better patient care! And you’re joining a thrice-certified Great Place to Work! 


Your Role

Clarius Mobile Health is looking for a Junior Data Scientist to contribute to a special project focused on expanding access to ultrasound technology while continuing to advance our next-generation innovations.The Junior Data Scientist will focus on analyzing the performance of machine learning models. They will find insights on the strengths and weaknesses of provided models, and how they respond to varying data inputs.


This candidate will excel in communicating their findings, creating a plan to resolve any deficiencies, and execute on that plan. It is ideal for recent graduates looking to gain hands-on experience in applied data science. 


If we meet our project milestones, there’s a strong possibility of this role being extended or turning into a permanent position.


Your Responsibilities Include:

  • Analyze performance of machine learning models. 
  • Create data visualizations to effectively communicate insights. 
  • Clean and analyze datasets to identify trends, anomalies, and key patterns. 
  • Support model validation, including bias detection and performance evaluation. 
  • Document and present findings to both technical and non-technical audiences. 
  • Train and optimize machine learning models. 

 

Your Experience so Far: 

  • Bachelor’s or master’s degree in Computer Science, Data Science, Statistics, or a related field, or similar experience. 
  • Strong presentation and communication skills and ability to explain complex insights clearly. 
  • Strong analytical and problem-solving skills with experience in data analysis. 
  • Proficiency in Python and common data visualization libraries such as Matplotlib, Seaborn, or Plotly. 
  • Experience with SQL and data querying for analysis.
  • Familiarity with machine learning concepts and model evaluation techniques is a strong plus.
  • Experience with machine learning frameworks, such as PyTorch or TensorFlow is a great bonus!



Location and Compensation:

Due to the hands-on nature of this collaborative role, a hybrid arrangement is preferred. As a result, we can only consider candidates who are within a commutable distance of our Vancouver, BC office.

This is a one-year fixed-term contract with a strong likelihood of extension upon meeting project deliverables. The salary range for this role is from $70,000-$85,000 CAD.


More Reasons to Consider:

Be Part of a High-Impact Project – You’ll play a key role in creating a more affordable ultrasound solution, making medical imaging more accessible worldwide.


Work for a Three-Time Certified Great Place to Work – Clarius has been recognized three times as a great place to work, and you’ll be joining a company that values innovation, teamwork, and employee well-being.


Workspace: Our modern office features sit/stand desks, various health & wellness facilities, a stocked kitchen, outdoor amenities, on-site daycare, enclosed parking, a free on-site gym and close proximity to a SkyTrain station.


Clarius Mobile Health is proud to be an Equal Opportunity Employer. We encourage applications from any qualified candidate regardless of ethnicity, religion, age, national origin, disability status, sexual orientation, gender identity or expression. Please let us know if you require any accommodations during the interview process.

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