Lead Data Scientist - Computer Vision / Bioengineering

Fusemachines

Most of our team work full time hours (40hrs), but some of our team work on part-time contracts

Posted 4 days ago

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, part-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.

Our Working Week

Most of our team work full time hours (40hrs), but some of our team work on part-time contracts

Our 4 day week = any day off

Our Employee Benefits

  • Health insurance
  • 401(k) company contribution
  • Flexible working hours
  • Equipment allowance

Expect to be working with

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