Postdoctoral researcher/senior data scientist on the ZSFG Predictive Analytics team

Zuckerberg San Francisco General Hospital is at the forefront of applying artificial intelligence and machine learning (AI/ML) to help improve outcomes in vulnerable and underserved populations. We are growing the hospital’s 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 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 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 Write and edit research manuscripts in collaboration with the team Team Jean Feng: Data analytics lead, assistant professor in the Department of Epidemiology and Biostatistics at UCSF Lucas Zier: Clinical lead, cardiologist at UCSF and ZSFG Jim Marks: Chief of the Medical Staff and Chief of Performance Excellence at ZSFG, anesthesiologist at UCSF and ZSFG Seth Goldman: Informatics Director for Technology Integration and Digital Health for the Office of Health Informatics for the San Francisco Department of Public Health, hospitalist at ZSFG Avni Kothari: Data scientist Position We are looking to hire a postdoctoral researcher/data scientist to join the team. The position (100% funded) will be for one year, with the possibility of extension. Salary and benefits are competitive. Qualifications Has a PhD degree or equivalent experience in data science, (bio)statistics, computer science, or another relevant field Has experience in training and testing ML algorithms for large datasets 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 plus) Has strong software engineering background (e.g. git-based workflows, high-performance computing, Linux, SQL, Spark) Is able to work collaboratively with a team Applying If you are interested, please submit the following materials to View email address on click.appcast.io: A cover letter A CV summarizing your education and work experience so far The names and email addresses of three references A code sample One representative publication Screening of applicants will begin immediately and will continue as needed throughout the recruitment period. #J-18808-Ljbffr