At a Glance
- Tasks: Build generative and predictive models of cellular behaviour to advance drug discovery.
- Company: Cutting-edge TechBio company in London with a focus on innovation.
- Benefits: Access to premier datasets, advanced infrastructure, and collaborative team environment.
- Why this job: Make a real impact at the intersection of biology and technology.
- Qualifications: PhD in ML or related field and expertise in generative modelling.
The predicted salary is between 63000 - 77000 £ per year.
Relation, a cutting-edge TechBio company in London, seeks a Machine Learning Scientist to build generative and predictive models of cellular behaviour that advance drug discovery. You will work at the interface of biology, computation, and engineering in a Matrixed team to translate insights into impact, with access to premier multi-omic datasets and advanced computational infrastructure.
The role requires a PhD in ML or related quantitative field, deep expertise in generative modelling.
Principal ML Scientist: Generative Models for Cells 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.
Contact Details:
United States Digital Space LLC Recruitment Team
