ML Scientist: Reasoning & RL for Biomedical AI

ML Scientist: Reasoning & RL for Biomedical AI

Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Relation Therapeutics

At a Glance

  • Tasks: Develop advanced AI systems for complex biological problems using reasoning and reinforcement learning.
  • Company: Relation Therapeutics, a pioneering company in biomedical AI based in London.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborate with top scientists in a dynamic and innovative environment.
  • Why this job: Make a real impact in healthcare by solving critical biological challenges with cutting-edge technology.
  • Qualifications: Experience in machine learning, particularly in reasoning and reinforcement learning.

The predicted salary is between 60000 - 80000 £ per year.

Relation Therapeutics, based in London, is seeking a Machine Learning Scientist to develop advanced AI systems that enable scientists to reason about complex biological problems. You will build LLM‑driven reasoning systems and intelligent agents, training them with RL methods and integrating large‑scale biomedical data and literature.

You will work closely with computational scientists and biologists, contributing to target discovery and disease understanding in a mid‑ to senior‑level role.

ML Scientist: Reasoning & RL for Biomedical AI employer: Relation Therapeutics

Relation Therapeutics is an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. With a strong emphasis on inclusivity and impactful results, employees are encouraged to grow through continuous learning and development opportunities. Located in a vibrant area, the company fosters a culture that values teamwork and communication, making it an ideal place for those passionate about advancing drug discovery.

Relation Therapeutics

Contact Details:

Relation Therapeutics Recruitment Team

We think you need these skills to ace ML Scientist: Reasoning & RL for Biomedical AI

Machine Learning
Reinforcement Learning (RL)
Large Language Models (LLMs)
Biomedical Data Integration
Data Analysis
Collaboration with Computational Scientists
Collaboration with Biologists