Machine Learning Scientist

Synlico Inc.; Canada; Remote; CAD 80,000 - 120,000; Full time

Job summary

An innovative AI-powered Drug Discovery startup is seeking a talented machine learning scientist to join their remote team in Canada. This entry-level position offers the opportunity to design cutting-edge generative models for biological systems and collaborate with interdisciplinary teams. The ideal candidate will have a Ph.D. in Computer Science or AI, a strong research background, and a passion for solving complex challenges. Join a forward-thinking company that values innovation and teamwork, and be part of a mission to rewrite medicine through advanced AI technologies.

Qualifications

• Strong research background with publications in top-tier AI conferences.
• Expertise in generative models and reinforcement learning.

Responsibilities

• Design state-of-the-art generative models for biological systems.
• Collaborate with bioinformatics and ML teams on projects.

Skills

Generative Models

Reinforcement Learning

Graph-Based Models

Coding Skills

Communication Skills

Education

Ph.D. in Computer Science

Ph.D. in Artificial Intelligence

Tools

GPU Optimization

Job description

Synlico Inc. is a resident company of Johnson & Johnson Innovation – JLABS, a premier life science incubator program. Synlico envisions rewriting medicine by bringing causality to cellular biology. We are an AI-powered Drug Discovery startup developing a cutting-edge AI platform to combat diseases with advancements in single-cell bioinformatics, machine learning, and causal discovery. Our passionate team of scientists and professionals values innovation and teamwork. Our research is interdisciplinary and team-oriented. We are seeking a talented machine learning scientist to lead or participate in projects with our science team. Our HQ is in South San Francisco, CA, United States. For more information, visit www.synlico.com.

Job Description:

This is a remote position in Canada. The machine learning scientist will:

1. Design state-of-the-art generative models for biological systems at the cellular level.
2. Collaborate with bioinformatics, ML, and causal teams, providing expert opinions to project peers.
3. Lead innovation initiatives, incorporating new ideas and technologies.

Job Requirements:

• Ph.D. in Computer Science or Artificial Intelligence.
• Strong research background with publications in top-tier AI conferences.
• Expertise in generative models and reinforcement learning; experience with graph-based models is a plus.
• Solid coding skills, experience with efficient model design, including GPU-accelerated optimization.
• Excellent communication and collaboration skills, capable of working independently with minimal supervision.
• Passionate about solving complex, real-world challenges with innovative solutions.

Interested candidates should submit their CV with a full list of publications.

Seniority level

• Entry level

Employment type

• Full-time