Do you want to influence and improve the health of people around the world? Are you interested in developing AI solutions for teaching computers to support patients' and physicians’ decisions?
The Machine Learning for Healthcare and Life Sciences team is a multidisciplinary team of scientists, developing cutting edge machine learning, data mining, and statistical tools that are tackling an array of industry challenges in healthcare. These include predictive analytics and causal inference for decision support, data-driven drug repurposing, medical device analytics, and the modelling of various diseases and disorders.
We are seeking a researcher to join the team. The ideal candidate should possess a doctorate in computer science, medical informatics, biostatistics or other related fields, with a demonstrated track record of developing advanced statistics, machine learning, or deep learning techniques to solving real world healthcare problems. They must also have a proven publication record and the ability to carry out world-class research. In addition to being technically abreast of the literature and progress within the specific and related areas of expertise, the candidate should be able to generate highly novel ideas and be involved in their execution and implementation. The researcher should also have programming and system development skills and should be able to deploy software individually and as part of an extended team.
Required Technical and Professional Expertise
PhD. or higher degree in computer science and statistics or medical informatics or computational biology.
Proven code development skills
Preferred Tech and Prof Experience
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.