AI/ML Postdoc: Spatial Genomics & Clone Interactions in London

AI/ML Postdoc: Spatial Genomics & Clone Interactions in London

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

At a Glance

  • Tasks: Lead a groundbreaking project using AI/ML to study clone interactions in liver disease.
  • Company: The Francis Crick Institute, a leader in biomedical research.
  • Benefits: Competitive salary, collaborative environment, and access to cutting-edge technology.
  • Other info: Join a dynamic team and contribute to innovative research across institutions.
  • Why this job: Make a real difference in cancer research while advancing your AI/ML skills.
  • Qualifications: PhD in relevant field with experience in AI/ML and biology.

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

The Francis Crick Institute invites applications for an AI/ML Postdoctoral Fellow to lead a cutting-edge computational project investigating how driver mutation clones interact with their microenvironment in chronic liver disease and liver cancer. The role is cross-institutional with Wellcome Sanger Institute and blends biology with state-of-the-art machine learning.

You will develop and apply advanced AI/ML methods, work with spatial genomics datasets, collaborate with clinicians.

AI/ML Postdoc: Spatial Genomics & Clone Interactions in London employer: Collabdemy

Queen Mary University of London is an exceptional employer, offering a vibrant work culture that prioritises diversity and inclusion. As a Clinical Research Fellow in Gastrointestinal Medical Oncology, you will be part of a leading institution renowned for its research excellence and commitment to improving health outcomes in diverse communities. With competitive salaries, generous leave, and extensive professional development opportunities, Queen Mary fosters an environment where employees can thrive both personally and professionally.

Collabdemy

Contact Details:

Collabdemy Recruitment Team

We think you need these skills to ace AI/ML Postdoc: Spatial Genomics & Clone Interactions in London

AI/ML Methods
Spatial Genomics
Data Analysis
Computational Biology
Collaboration with Clinicians
Advanced Machine Learning Techniques
Statistical Analysis