Remote ML Scientist: Generative Models for Cellular Biology

Synlico Inc.

Canada

Remote

CAD 85,000 - 120,000

Full time

14 days+
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Job summary

A leading AI-powered drug discovery startup is seeking a talented machine learning scientist to join their team. This remote position in Canada requires a Ph.D. in a related field and 3-5+ years of industry experience in building and deploying machine learning models. You will design generative models for biological phenomena and collaborate with cross-functional teams to bridge research to product. Strong coding skills and a proven research record are essential for addressing complex challenges and creating impactful solutions.

Qualifications

  • Must have a Ph.D in Computer Science, Artificial Intelligence or related field.
  • 3–5+ post-Ph.D years of industry experience building and deploying ML models.
  • Demonstrated research excellence with a strong publication record.
  • Depth in generative modeling, especially generative flow models.
  • Passionate about addressing complex, real-world challenges.

Responsibilities

  • Design, prototype, and productionize generative models for cellular-level biological phenomena.
  • Translate promising prototypes into robust systems.
  • Foster strong collaboration with bioinformatics, applied ML, and causal teams.
  • Lead innovation initiatives and incorporate fresh ideas.

Skills

Generative modeling
Machine learning
Strong coding skills
Excellent communication
Collaboration skills

Education

Ph.D in Computer Science or related field

Job description

A leading AI-powered drug discovery startup is seeking a talented machine learning scientist to join their team. This remote position in Canada requires a Ph.D. in a related field and 3-5+ years of industry experience in building and deploying machine learning models. You will design generative models for biological phenomena and collaborate with cross-functional teams to bridge research to product. Strong coding skills and a proven research record are essential for addressing complex challenges and creating impactful solutions.
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