Cambridge Residency Programme – Postdoctoral Researcher – Multimodal Deep Learning for Healthcare – Microsoft Research

3 Days ago • All levels • Artificial Intelligence

About the job

Job Description

Microsoft Research is seeking a Postdoctoral Researcher to contribute to their ambitious research agenda in multimodal deep learning for healthcare. The role involves designing, implementing, and evaluating new machine learning methods and models, collaborating with clinical experts, and sharing research through publications or open-sourcing. Responsibilities include developing and understanding large multimodal models for healthcare, deepening expertise in multimodal deep learning, conducting experiments with world-class computational resources, and working collaboratively within a strong research team. A PhD or equivalent expertise in relevant fields is required, along with experience in deep learning frameworks (e.g., PyTorch) and software engineering practices.
Must have:
  • PhD in relevant field
  • Deep learning experience (PyTorch)
  • Software engineering skills (Git)
  • Passion for healthcare
  • Publication track record
Good to have:
  • Interpretability methods
  • Large multimodal transformers
  • Genomics/Transcriptomics
  • Computational pathology/Radiology
  • Biomarker discovery
Perks:
  • Industry leading healthcare
  • Educational resources
  • Discounts on products and services
  • Savings and investments
  • Maternity and paternity leave
  • Generous time away
  • Giving programs
  • Networking opportunities

Overview

Microsoft Research Health Futures UK conducts world-class research at the intersection of AI and healthcare, drawing on deep expertise in biomedical imaging and multimodal deep learning. We are seeking a motivated postdoctoral researcher to join our vibrant team of researchers and engineers. 

 

We focus on the development and understanding of large multimodal models for healthcare, as exemplified by our work in Project MAIRA.  As a postdoctoral researcher within our team, you will have the opportunity to: 

  • Deepen your expertise in multimodal deep learning by developing an ambitious research agenda 
  • Conduct experimentation with world-class computational resources 
  • Grow in a team with a strong culture of collaboration and rigorous research 

Qualifications

Required/Minimum Qualifications: 

 

  • PhD degree (or on-track to complete), or equivalent expertise in independent research, in areas such as computer science (e.g. machine learning, deep learning, signal processing), computational biology, medicine 
  • Prior experience with deep learning frameworks (e.g., PyTorch) and software engineering practices (e.g. git) 
  • Passion for healthcare and medicine 
  • Ability to work and learn in a collaborative  

and diverse environment 

 

Other Requirements: 

 

Preferred/Additional Qualifications: 

  • Expertise in any of the following topics: 
  • Interpretability methods for deep learning (e.g. mechanistic interpretability, explainable AI) 
  • Design and evaluation of large multimodal transformers 
  • Genetics, e.g. genomics, transcriptomics 
  • Computational pathology 
  • Radiology 
  • Biomarker discovery (broadly interpreted) 
  • Experience with real-world healthcare data 
  • Track record of publication in top conferences or journals, such as: NeurIPS, ICML, ICLR, CVPR, EMNLP, Nature (and affiliated, e.g. NPJ Digital Health), JAMA 

 

Responsibilities

The ideal candidate will have strong intellectual curiosity and passion to solve real-world problems in healthcare using machine learning. Responsibilities will include: 

  • Design, implement and evaluate new machine learning methods and models 
  • Share your research with the broader research community through publication or open sourcing 
  • Collaborate with clinical experts and across Microsoft Research 
  • Work as part of a team to advance our ambitious research agenda 
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect
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