Machine Learning Scientist

Synlico Inc.; Canada; Remote; CAD 70,000 - 90,000; Full time

Job summary

A leading AI-powered drug discovery startup is seeking an enthusiastic machine learning scientist to join their remote team in Canada. The role involves designing innovative generative models and collaborating with interdisciplinary teams to tackle complex biological challenges. Ideal candidates will have a Ph.D. in Computer Science or AI, along with strong coding and problem-solving skills. This entry-level position offers a unique opportunity to contribute to impactful research in cellular biology.

Qualifications

• Strong publication record in top-tier AI conferences.
• Expertise in generative models and reinforcement learning.

Responsibilities

• Design generative models for biological systems.
• Foster collaboration with bioinformatics and ML teams.
• Lead innovation initiatives and incorporate new technologies.

Skills

Collaboration

Problem Solving

Communication

Education

Ph.D. in Computer Science

Ph.D. in Artificial Intelligence

Tools

GPU-accelerated 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 the latest advancements in single-cell bioinformatics, machine learning, and causal discovery. Our research is highly interdisciplinary and team-oriented. We are seeking a talented and enthusiastic machine learning scientist to lead or participate in several projects with our science team. Our HQ is in South San Francisco, CA, United States. For more information, please visit www.synlico.com.

Job Description:

This is a remote working position in Canada. As a member of our science team, the machine learning scientist will:

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

Job Requirements:

• Must have a Ph.D. in Computer Science or Artificial Intelligence.
• Demonstrate a robust research history and a strong publication record in top-tier AI conferences.
• Expertise with generative models and reinforcement learning; experience with graph-based models is a plus.
• Solid coding and problem-solving skills, with demonstrated expertise in efficient model design, including GPU-accelerated optimization.
• Excellent communication and collaboration skills, with the ability to work independently and collaboratively with minimal supervision.
• Passionate about addressing complex, real-world challenges and creating impactful, innovative solutions.

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

Seniority level: Entry level

Employment type: Full-time