Machine Learning Scientist
Riverside, Riverside County, California, 92501, USA
Listed on 2026-10-31
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Research/Development
Data Scientist
Synlico Inc. is a resident company of Johnson & J&N 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 working position in Canada.
What you will do
- Invent & deliver: Design, prototype, and product ionize generative models for cellular‑level biological phenomena.
- Bridge research to product: translate promising prototypes into robust and well‑tested systems.
- Collaborate cross‑functionally: Foster strong collaboration with bioinformatics
, applied ML, and causal teams. - Lead innovation initiatives: Leading innovation initiatives and incorporating fresh ideas and technologies.
Job Requirement:
- 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 (e.g., strong publication record in top‑tier AI venues) and ability to convert insights into working systems.
- Depth in generative modeling, especially generative flow models and probabilistic generative methods.
- Strong coding and problem-solving skills.
- Excellent communication and collaboration skills, proven ability to work independently and collaboratively with minimal supervision.
- Passionate about addressing complex, real‑world challenges and creating impactful, innovative solutions.
Interested candidates please submit your CV with a full list of your publications.
Seniority levelMid‑Senior level
Employment typeFull‑time
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