Reinforcement Learning Scientist

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 cutting-edge AI platform to combat diseases with the latest advancements in single-cell bioinformatics, machine learning, and causal discovery. We are a passionate team of 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 who will lead/participate in several of our projects with our science team. Our HQ is at South San Francisco, CA, United States. For more information, please visit

This is a remote part time working position in Canada. As a member of our science team, the Reinforcement Learning Scientist will

• Design state-of-the-art generative model for biological systems at the cellular level.
• Foster strong collaboration with bioinformatics, ML, and causal teams and provide expert opinions to project peers.
• Leading innovation initiatives and incorporating fresh ideas and technologies.

• Must have a Ph.D in Computer Science or Artificial Intelligence or close to the final year of Ph.D. study.
• Demonstrate a robust research history and strong publication record in top tier AI conferences.
• Strong expertise with reinforcement learning. Experience building and solving novel environments from scratch using on value-based reinforcement learning is a plus.
• Solid coding and problem-solving skills.
• Understanding of the practical mechanics of on-policy and off-policy learning, exploration vs. exploitation and experience handling the instability of Deep RL.
• Experience dealing with complex, discrete, or combinatorial action spaces
• Proficiency in PyTorch and familiarity with hackable RL codebases (like Clean
  
  RL).
• Up-to-date knowledge of contemporary RL advancements.
• Excellent communication and collaboration skills, with the ability to work collaboratively and independently with minimal supervision.

Interested candidates please submit your CV with a full list of your publications.

Synlico is an equal opportunity employer. At Synlico, we value differences and are committed to a diverse workplace that fosters inclusion for all employees. Synlico provides a work environment that respects each individual and is free of all forms of employment discrimination because of race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or veteran status.