ML Scientist: Spatial Biology for Cancer Diagnostics in Oxford

ML Scientist: Spatial Biology for Cancer Diagnostics in Oxford

Oxford Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Ground Truth Labs Ltd.

At a Glance

  • Tasks: Develop deep-learning models for spatial biology biomarkers in blood cancer.
  • Company: Ground Truth Labs Ltd., a leader in AI-driven healthcare solutions.
  • Benefits: Remote work, travel opportunities, and authorship in research publications.
  • Other info: Collaborative environment with opportunities for impactful research.
  • Why this job: Make a real difference in healthcare with innovative AI contributions.
  • Qualifications: Experience in machine learning and a passion for healthcare innovation.

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

Ground Truth Labs Ltd. is seeking a Machine Learning Scientist to develop spatial biology biomarkers for blood cancer. In this role, you will implement deep-learning models and work collaboratively with engineers and clinical experts to create impactful solutions. This opportunity invites someone enthusiastic about AI and eager to make a significant difference in healthcare.

The position emphasizes innovative contributions and authorship in research publications. Expect remote work with periodic travel to London and Oxford for team collaboration.

ML Scientist: Spatial Biology for Cancer Diagnostics in Oxford employer: Ground Truth Labs Ltd.

Ground Truth Labs offers an exceptional work environment for those looking to make a significant impact in the AI biotech sector. With a focus on collaboration and innovation, employees are empowered to take ownership of their projects while benefiting from a culture that prioritises personal and professional growth. The remote nature of this role allows for flexibility, making it an ideal opportunity for ambitious individuals seeking meaningful and rewarding employment.

Ground Truth Labs Ltd.

Contact Details:

Ground Truth Labs Ltd. Recruitment Team

We think you need these skills to ace ML Scientist: Spatial Biology for Cancer Diagnostics in Oxford

Machine Learning
Deep Learning
Spatial Biology
Biomarker Development
Collaboration
Research Publication
AI Enthusiasm