

Synlico Inc.
Machine Learning Scientist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a remote Machine Learning Scientist contract position in the UK, lasting for an unspecified duration, offering competitive pay. Candidates must have a Ph.D. in a relevant field, 3–5+ years of industry experience, and expertise in generative modeling.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
February 8, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#Computer Science #Generative Models #ML (Machine Learning) #AI (Artificial Intelligence)
Role 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 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 www.synlico.com.
Job Description:
This is a remote contract position in UK. What you will do
• Invent & deliver: Design, prototype, and productionize 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.
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 www.synlico.com.
Job Description:
This is a remote contract position in UK. What you will do
• Invent & deliver: Design, prototype, and productionize 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.






