The Medical Imaging Team (InnerEye) in the Health Intelligence group at Microsoft Research Cambridge (UK) is working state of the art AI research to help clinicians to achieve more. Our team members have unparalleled opportunity to put their machine learning and coding skills to test by developing high impact applications. To learn more information, please visit:  

• https://aka.ms/innereye  
• http://aka.ms/healthcareintelligence   

Responsibilities

• Democratize healthcare AI, empowering clinical partners to build and deploy state of the art healthcare AI using Azure and Open Source: http://aka.ms/innereyeoss  
• Collaborate with a team of experts in machine learning/deep learning, software development, social science as well as clinicians.  
• Design, implement, evaluate, and deploy machine learning solutions which consider key clinical factors and responsible AI using Deep Learning.  
• Contribute to an evolving team with a growth mindset, creating clarity and influencing the team strategy.  

Qualifications

• Strong programming skills in at least one language with a solid background in algorithms, data structures and solving impactful technical problems at scale.  
• Passion for healthcare and improving patients’ outcomes.  
• Excellent communication skills.  
• Machine Learning and Deep Learning knowledge  
• MS or equivalent in Computer Science or related fields. 

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.