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University of California, San Francisco – Postdoctoral Research Fellow
Company Information: UCSF is a world-renowned medical school with 7 Nobel Prize winners, 31 members of the National Academy of Sciences, 69 members of the Institute of Medicine, and 30 members of the Academy of Arts and Sciences. UCSF is located in Silicon Valley, the heart of innovation. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Position Title: Postdoctoral Research Fellow
Duties and Responsibilities: We are seeking talented post-doctoral researchers and data scientists to join our interdisciplinary research team on an ambitious multi-year mission to develop cutting-edge computational tools for monitoring, diagnosing, and updating ML/AI algorithms. The team is led by Drs. Jean Feng and Suchi Saria. Other team members include faculty across UCSF, JHU, and Northwell with expertise in ML/AI/statistics and medicine, including Drs. Fan Xia, Julian Hong, Lucas Zier, Arjun Sondhi, and more.
Primary responsibilities include:
* Develop tools for monitoring, diagnosing, and updating ML/AI systems in real-world clinical settings with rigorous statistical guarantees.
* Design and implement robust, scalable software libraries and data pipelines
* Collaborate with deployment teams to ensure developed tools work well in real-world settings
* Prepare and submit research manuscripts and technical reports
Position Qualifications: The post-doctoral researcher position requires at least a PhD degree in computer science, (bio)statistics, data science, or related fields. We are looking for someone who:
* has experience in methodological development and can perform independent research, with a strong and relevant publication record
(preferably) has experience in at least one of these fields: sequential monitoring, multiple hypothesis testing, machine learning, causal inference, post-prediction inference
* is comfortable working with large datasets as well as data from different modalities (tabular, imaging, text)
* is able to work collaboratively with a team
Salary Range: 70000-100000
Benefits: The position (100% funded) will be for two years, with potential for continuation. Salary and benefits are competitive.
Website: https://www.jeanfeng.com/joining.html
Application Information: Please go to https://www.jeanfeng.com/joining.html to see full details of the position and application instructions.
Screening of applicants will begin immediately and will continue as needed throughout the recruitment period.
Contact Email: jean.feng@ucsf.edu
Application Deadline: 09/30/2025
Company NameUniversity of California, San Francisco
Company Information
UCSF is a world-renowned medical school with 7 Nobel Prize winners, 31 members of the National Academy of Sciences, 69 members of the Institute of Medicine, and 30 members of the Academy of Arts and Sciences. UCSF is located in Silicon Valley, the heart of innovation. The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
Position TitlePostdoctoral Research Fellow
Duties and Responsibilities
We are seeking talented post-doctoral researchers and data scientists to join our interdisciplinary research team on an ambitious multi-year mission to develop cutting-edge computational tools for monitoring, diagnosing, and updating ML/AI algorithms. The team is led by Drs. Jean Feng and Suchi Saria. Other team members include faculty across UCSF, JHU, and Northwell with expertise in ML/AI/statistics and medicine, including Drs. Fan Xia, Julian Hong, Lucas Zier, Arjun Sondhi, and more.
Primary responsibilities include:
* Develop tools for monitoring, diagnosing, and updating ML/AI systems in real-world clinical settings with rigorous statistical guarantees.
* Design and implement robust, scalable software libraries and data pipelines
* Collaborate with deployment teams to ensure developed tools work well in real-world settings
* Prepare and submit research manuscripts and technical reports
Position Qualifications
The post-doctoral researcher position requires at least a PhD degree in computer science, (bio)statistics, data science, or related fields. We are looking for someone who:
* has experience in methodological development and can perform independent research, with a strong and relevant publication record
(preferably) has experience in at least one of these fields: sequential monitoring, multiple hypothesis testing, machine learning, causal inference, post-prediction inference
* is comfortable working with large datasets as well as data from different modalities (tabular, imaging, text)
* is able to work collaboratively with a team
Salary Range70000-100000
Benefits
The position (100% funded) will be for two years, with potential for continuation. Salary and benefits are competitive.
Position or Company Websitejeanfeng.com
Application Instructions
Please go to https://www.jeanfeng.com/joining.html to see full details of the position and application instructions.
Screening of applicants will begin immediately and will continue as needed throughout the recruitment period.