Remote ML Scientist: Generative Models for Cellular Biology
Synlico Inc.
Canada
Remote
CAD 85,000 - 120,000
Full time
14 days+
Get more replies from employers
Send a job-specific resume in minutes.
Start fresh or import an existing resume
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.