Senior Data Scientist - Single-Cell Multiomics

Senior Data Scientist - Single-Cell Multiomics

Full-Time 60750 - 74250 Β£ / year (est.) No working from home possible
United States Digital Space LLC

At a Glance

  • Tasks: Build predictive models of cellular behaviour and develop scalable pipelines.
  • Company: Cutting-edge biotech firm focused on data-driven medicine.
  • Benefits: Competitive salary, flexible hours, and opportunities for research publication.
  • Other info: Exciting career growth in a vibrant London lab environment.
  • Why this job: Join a dynamic team and make a real impact in healthcare innovation.
  • Qualifications: Experience in data science, machine learning, and interdisciplinary collaboration.

The predicted salary is between 60750 - 74250 Β£ per year.

Relation seeks a Senior Data Scientist to help build generative and predictive models of cellular behaviour using single-cell multiomics.

You will work in interdisciplinary teams across biology, computation, and engineering in our London labs to translate insight into therapeutic strategies.

You will bridge experimental and ML teams, developing scalable pipelines, evaluating models, and contributing to publications while advancing data-driven medicine.

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Senior Data Scientist - Single-Cell Multiomics 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 Data Scientist - Single-Cell Multiomics

SQL
Problem-Solving Skills
Communication Skills
Python
Data Engineering
Automation
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