Senior ML Scientist β€” Generative Cellular Modelling

Senior ML Scientist β€” Generative Cellular Modelling

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
United States Digital Space LLC

At a Glance

  • Tasks: Advance generative models of cellular behaviour and translate data into impactful insights.
  • Company: Relation, a leader in innovative biomedical research.
  • Benefits: Competitive salary, access to cutting-edge datasets, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on groundbreaking therapeutic strategies.
  • Why this job: Make a real difference in medicine by working with advanced machine learning techniques.
  • Qualifications: Strong background in machine learning and experience in biology or computational sciences.

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

Relation is seeking an exceptional Machine Learning Scientist to advance generative and predictive models of cellular behaviour.

You will work across biology, computation, and engineering to translate data into insights that drive therapeutic strategies.

Join a team with access to cutting-edge multi-omics datasets and scalable computing.

You will design, critique, and validate models, communicating results to diverse stakeholders to accelerate impact in medicines.

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Senior ML Scientist β€” Generative Cellular Modelling employer: United States Digital Space LLC

United States Digital Space LLC is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the heart of Greater London. With a strong focus on employee well-being and flexible work options, we provide ample opportunities for professional growth and development, making it an ideal environment for those looking to make a meaningful impact in the field of AI-enabled SaaS engineering.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

We think you need these skills to ace Senior ML Scientist β€” Generative Cellular Modelling

Machine Learning
Generative Modelling
Predictive Modelling
Data Analysis
Biology Knowledge
Computational Skills
Engineering Principles