Machine Learning Scientist

Synlico Inc.; Canada; Remote; CAD 80,000 - 100,000; Full time

Job summary

A leading company in AI-powered drug discovery is seeking an entry-level machine learning scientist in Canada. The role involves designing generative models, collaborating with various teams, and leading innovation initiatives. Ideal candidates will have a Ph.D. in AI or Computer Science and a robust research background.

Qualifications

• Strong research background with notable publications in AI conferences.
• Expertise in generative models and reinforcement learning; graph-based models is a plus.
• Solid coding skills with efficient model design experience.

Responsibilities

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

Skills

Problem Solving

Collaboration

Communication

Education

Ph.D. in Computer Science or Artificial Intelligence

Tools

GPU-accelerated optimization

Generative models

Reinforcement learning

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 using the latest advancements in single-cell bioinformatics, machine learning, and causal discovery. Our team is composed of passionate young scientists and professionals who value innovation and teamwork. 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 headquarters is located in South San Francisco, CA, United States. For more information, please visit www.synlico.com.

Job Description:

This is a remote position based in Canada. 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, incorporating new ideas and technologies.

Job Requirements:

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

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

Seniority level: Entry level

Employment type: Full-time