Senior ML Scientist, Single-Cell Biotech

Senior ML Scientist, Single-Cell Biotech

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
Relation

At a Glance

  • Tasks: Advance generative and predictive models of cellular behaviour using multi-omics data.
  • Company: Relation, a cutting-edge TechBio company based in London.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and real-world applications.
  • Why this job: Make a real-world impact by combining machine learning with biology.
  • Qualifications: Strong background in machine learning and experience with biological data.

The predicted salary is between 63000 - 77000 Β£ per year.

Relation is a Tech Bio company in London seeking a Senior Machine Learning Scientist to advance generative and predictive models of cellular behaviour.

You will work with multi-omics data, interventional datasets, and collaborate with biology and engineering teams to translate insights into real-world impact.

You combine ML fundamentals with deep biological data, design scalable models, and guide experiments to validate predictions.

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Senior ML Scientist, Single-Cell Biotech employer: Relation

Relation Therapeutics is an exceptional employer located in London, offering a dynamic work culture that fosters collaboration and innovation in the biotech sector. Employees benefit from opportunities for professional growth, working alongside interdisciplinary teams to drive impactful data strategies that contribute to groundbreaking therapies. With a commitment to equal opportunities and a focus on making a difference in patients' lives, Relation provides a rewarding environment for those passionate about advancing human health through technology.

Relation

Contact Details:

Relation Recruitment Team

We think you need these skills to ace Senior ML Scientist, Single-Cell Biotech

Machine Learning
Generative Models
Predictive Models
Multi-Omics Data Analysis
Interventional Datasets
Collaboration with Biology Teams
Collaboration with Engineering Teams