Senior Researcher: Machine Learning for Healthcare – Microsoft Research

Overview

Are you interested in working on cutting-edge AI research to solve some of the most pressing problems of our society? Join our vibrant team and help us revolutionize healthcare with multi-modal AI at Microsoft Research based in Cambridge (UK). 
 
As part of the Multi-modal AI Team at Microsoft Research Health Futures you will join an innovative, collaborative team at the intersection of AI and Healthcare. We partner with top medical centers to develop and understand state-of-the-art AI models based on multi-modal LLMs. 
 
You will be responsible for the design, development, and execution of an exciting research agenda in collaboration with other machine learning, engineers, clinicians, social scientists, and designers at Health Futures. To learn more about this opportunity, please visit:

Qualifications

Qualifications

PhD in Machine Learning, Computer Science or related fields or equivalent experience.

Experience

Required

Relevant years of experience working on a multidisciplinary team working on AI research for real world impact. 
Hands-on experience with large scale deep learning models and libraries (e.g., PyTorch, TensorFlow). 
Strong software development skills. 

Preferred

Publications at top conferences and journals such as: NeurIPS, ICML, ICLR, MICCAI, Nature, CVPR, ICCV, EMNLP, ACL.
Experience with medical domains such as radiology, digital pathology, genetics, immunology. 
Machine learning expertise in multi-modal learning, large language models (e.g., alignment), reinforcement learning and/or domain adaptation and data-efficient learning.

#Research

Responsibilities

The ideal candidate will have a strong intellectual curiosity and passion to solve real-world problems in healthcare and multi-modal AI The responsibilities will include:

Advance multi-modal medical AI, empowering internal and external partners to build and deploy state of the art medical imaging AI to make clinical work-flows faster and safer and improve patient outcomes. Collaborate on design, implementation and evaluation of multi-modal machine learning solutions which consider key clinical factors and responsible AI. Support the strategic planning of the team by providing engineering and research leadership. Engage with external and internal collaborators to drive real world impact.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect