Senior Researcher – Machine Learning for Healthcare in Cambridge, United Kingdom

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 multimodal AI at Microsoft Research Cambridge (UK).

As part of the Biomedical Imaging Team at Microsoft Health Futures Cambridge (UK) you will join an innovative, collaborative team at the intersection of AI and Healthcare. We partner with top medical centers to develop state-of-the-art AI models based on multimodal 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:  http://aka.ms/maira

Responsibilities

The ideal candidate will have a strong intellectual curiosity and passion to solve real-world problems in healthcare and medical imaging.  The responsibilities will include:

• Advance multimodal medical imaging AI, empowering internal and external partners to build and deploy state of the art medical imaging AI to make clinical workflows faster and safer and improve patient outcomes.

• Collaborate on design, implementation and evaluation of multimodal 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.

Qualifications

Required:

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

• 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), and/or domain adaptation and data-efficient learning.

#Research

Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .