Machine Learning Scientist

Data Freelance Hub; Remote; GBP 70,000 - 90,000; Full time

Job summary

A life science AI startup in the UK is seeking a Machine Learning Scientist to design and productionize generative models for cellular-level biological phenomena. Candidates should have a Ph.D. in Computer Science or a related field, along with 3–5 years of industry experience in ML. The role emphasizes collaboration and innovation within a dynamic team, aiming to address real-world challenges through impactful solutions. Competitive pay is offered, with a focus on creating cutting-edge AI technologies.

Qualifications

• 3–5+ years of post-Ph.D industry experience in ML.
• Strong publication record in AI venues.
• Depth experience in generative modeling.

Responsibilities

• Design and productionize generative models.
• Translate prototypes into tested systems.
• Foster strong collaboration.
• Lead innovative initiatives.

Skills

Generative modeling

Strong coding skills

Problem-solving skills

Excellent communication

Collaboration skills

Education

Ph.D in Computer Science or related field

Job description

Overview

Remote Machine Learning Scientist contract position in the UK, offering competitive pay.

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.

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 Requirements

• 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.

About Synlico

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.

What you will do (cont.)

• 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 Requirements (cont.)

• 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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