Machine Learning Engineer for Healthcare
4 days ago
Job Description:
As a machine learning engineer for healthcare at UC San Francisco, you will play a key role in developing innovative solutions using machine learning models. Your work will involve leveraging big electronic health records data to drive impactful research and treatment decisions.
About the Opportunities:
Our team is working on several exciting projects, including developing AI-driven approaches to improve cancer, women's health, and health disparity. You will also have the opportunity to optimize personalized treatments for cardiometabolic diseases and develop multi-modal and multi-omics approaches for systems pharmacology.
About the Qualifications:
We require a strong background in bioinformatics, computer sciences, or other fields relevant to quantitative sciences. Proficiency in Python, SQL, or other programming languages is essential, as is basic knowledge in machine learning and/or statistical learning. Knowledge or training in medicine, pharmacy, health sciences, systems biology, or pharmacology would be highly valued.
Estimated Salary: $115,000 per annum
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