Senior Data Scientist β€” Single-Cell & Spatial Omics

Senior Data Scientist β€” Single-Cell & Spatial Omics

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

At a Glance

  • Tasks: Analyse high-dimensional datasets and translate insights into disease understanding.
  • 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 impact.
  • Why this job: Join a team at the forefront of single-cell biology and spatial omics.
  • Qualifications: Experience in computational biology and machine learning required.

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

Relation, a TechBio company in London, seeks a Senior Data Scientist, Computational Biology to work at the intersection of single-cell biology, spatial omics and machine learning. You will apply advanced computational approaches to analyse high-dimensional datasets and translate insights into disease understanding and drug discovery.

You will collaborate with ML researchers, experimental scientists and software engineers, design rigorous evaluation tasks, publish results, and guide analyses.

Senior Data Scientist β€” Single-Cell & Spatial Omics 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 Data Scientist β€” Single-Cell & Spatial Omics

Computational Biology
Machine Learning
Data Analysis
High-Dimensional Datasets
Collaboration
Evaluation Design
Publication of Results