Dear all, Our group is hiring for an ML postdoctoral fellow and/or a senior data scientist to join the Zuckerberg San Francisco General Hospital's predictive analytics team. Please see job description below or at https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.jeanfeng.com%2Fjoining.html&data=05%7C02%7Cuai%40engr.orst.edu%7Cba4cf6d1f6be4ee6573808dc2e31c4fa%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638436038509748571%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=wdIv2%2FMHGPfZ%2FzWW9Scb1oyztQHn0LU5bkswI8cFUus%3D&reserved=0
Zuckerberg San Francisco General Hospital (ZSFG) is at the forefront of applying artificial intelligence and machine learning (AI/ML) to help improve outcomes in vulnerable and underserved populations. We are hiring for a senior data scientist to join the ZSFG predictive analytics team, whose charter is to leverage large datasets to improve patient care for all. Our team is dedicated to the development and testing of ML algorithms that support the hospital’s performance improvement efforts, with an emphasis on health equity and algorithmic fairness. We are committed to the translation of these algorithms into clinical practice and will be embedding all our algorithms into various clinical systems including the electronic health record (EHR) for rigorous testing and monitoring. RESPONSIBILITIES We are seeking a postdoctoral researcher/data scientist to join our team. The primary responsibilities are: * Develop and test new ML algorithms that analyze structured data and clinical notes from the electronic health record (EHR) system * Research and assess the use of large language models (LLMs) to develop interpretable and scalable clinical decision support systems * Be up-to-date on state-of-the-art methodologies in the relevant technical fields and application domains * Ensure that the developed ML algorithms are reliable and fair * Publish research manuscripts in collaboration with the team Our predictive analytics team is highly collaborative and includes team members with wide-ranging expertise, including healthcare, clinical IT, machine learning, biostatistics, and computer science. QUALIFICATIONS The position requires at least a PhD degree or equivalent in data science, (bio)statistics, computer science, or another relevant field. We are looking for someone who: * has experience in training and testing ML algorithms for large datasets (including familiarity with sklearn, torch, huggingface, etc) * has experience in methodological development and can perform independent research, with a strong and relevant publication record * has interest in analyzing Electronic Health Record (EHR) data and natural language processing (prior experience is a huge plus) * has strong software engineering background (e.g. Python, high performance computing, SQL, Spark, Linux, Github) * is able to work collaboratively with a team Screening of applicants will begin immediately and will continue as needed throughout the recruitment period. If you are interested, please submit the following materials to jean.f...@ucsf.edu: * A cover letter * A CV summarizing your education and work experience so far * The names and email addresses of three references * A code sample on github * One representative publication Thanks! --------------------------------------- Jean Feng, PhD Assistant Professor in Residence Department of Epidemiology and Biostatistics University of California, San Francisco https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.jeanfeng.com%2F&data=05%7C02%7Cuai%40engr.orst.edu%7Cba4cf6d1f6be4ee6573808dc2e31c4fa%7Cce6d05e13c5e4d6287a84c4a2713c113%7C0%7C0%7C638436038509748571%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=O4otpn1lfUufcLqb8atOAsD3WjI5eTnsGVuUidfSNtk%3D&reserved=0
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