Internship opportunities: Health Intelligence - Machine Learning

Key Skills

Machine learning techniques, Statistics

Job Description

The Health Intelligence team at Microsoft Research Cambridge (UK) lab is dedicated to advancing Healthcare and Life Sciences with AI. Our mission is to solve these challenges following Microsoft’s AI Principles of fairness, reliability & safety, inclusiveness, privacy & security, accountability, and transparency in a multidisciplinary team.

We are a multi-disciplinary team that includes engineers, machine learning experts, statisticians, medical practitioners, user experience researchers, and biologists that work together in areas like Hospital Care, Mental Health, Medical Imaging, Immunomics, and Synthetic Biology. To have an impact in these areas requires diversity and an open attitude to learn new skills and mental models. We want you to be part of a vibrant environment in which diverse skills and knowledge is valued when addressing some of the hardest and most impactful problems of our days. For example, we are using machine learning to decode the human immune system to facilitate the diagnosis of different diseases, developing tools to reprogram cellular DNA for therapeutic and industrial applications, or helping clinicians to cope with the growing demand on healthcare.

We are looking for diverse ML expertise with experience or interest in Healthcare or Life Sciences.

“We are anticipating this will be a virtual internship and the intern must be physically located in UK at the time of their application and during the duration of their internship”

Responsibilities

• Work with an interdisciplinary team on healthcare applications of machine learning.
• Develop novel machine learning models and algorithms.
• Design, implement and evaluate machine learning experiments
• Write and present your findings in technical documents or papers

Qualifications

• Be enrolled in a PhD program in Machine Learning, Statistics, Computer Science or a related field such Computational Biology with focus on ML.
• Have experience/interest in ML and health and/or life-sciences.
• Have demonstrated proficiency through one or multiple publications at relevant venues
• Have strong programming skills and experience with one of scikit/pytorch/tensorflow/etc.