Lead Data Scientist

Toronto, ON, Canada

Job Description

About Fusemachines

Fusemachines is a leading AI strategy, talent, and education services provider. Founded by Sameer Maskey Ph.D., Adjunct Associate Professor at Columbia University, Fusemachines has a core mission of democratizing AI. With a presence in 4 countries (Nepal, the United States, Canada, and the Dominican Republic and more than 250 full-time employees) Fusemachines seeks to bring its global expertise in AI to transform companies around the world.

About the role

This is a remote, full time consulting position

Role scope

  • Analyze 3D medical imaging datasets to develop predictive models to improve surgical outcomes
  • Collaborate with product, science, engineering, and business development teams to build and bring to market advanced predictive models
  • Provide technical leadership and expertise in computer vision, and data science in bioengineering
  • Contribute to developing codebase with well-tested, production-ready code
Requirements for the role
  • Applicants should have a Masters, PhD, or advanced training in applied mathematics, engineering, computer science, or a similar related field and should have a strong interest in medical imaging
  • Candidates should be enthusiastic about developing and applying quantitative methods such as computational modeling, image processing or deep learning to problems in bioengineering
  • Expertise with programming Python
  • Excellent communication skills both written and verbal
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

Powered by JazzHR

Beware of fraud agents! do not pay money to get a job

MNCJobz.com will not be responsible for any payment made to a third-party. All Terms of Use are applicable.


Related Jobs

Job Detail

  • Job Id
    JD2066914
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Toronto, ON, Canada
  • Education
    Not mentioned