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Machine Learning Scientist

Remote / Online - Candidates ideally in
UK
Listing for: Synlico Inc.
Remote/Work from Home position
Listed on 2026-02-25
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist
Job Description & How to Apply Below

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. For more information, please visit

Job Description:

This is a remote contract position in UK.

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 other team members.
  • 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 experience in generative modeling. Good understanding of flow models is a plus.
  • 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.

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