Join us!

Our group is always interested in finding new lab members and collaborators to contribute with clinical domain knowledge or computational expertise. Join our multidisciplinary team of clinicians and scientists in the Department of Radiation Oncology and the Bakar Computational Health Sciences Institute at UCSF and across UCSF and UC Berkeley in the Joint Program in Computational Precision Health. Lab members are also be encouraged to take advantage of other training and learning opportunities within the UCSF Helen Diller Family Comprehensive Cancer Center, the Bakar Computational Health Sciences Institute, and other related entities at UCSF and UC Berkeley.

If you are interested in joining the lab or collaborating on research in a role not listed below, please contact us.

Currently funded priorities are focused on machine learning with electronic health record data and wearable devices and natural language processing in the areas of cancer care delivery and prostate cancer care.

Post-doctoral opportunities

We are recruiting highly motivated investigators to develop algorithms and analyses with multi-modal clinical data to guide personalized oncology care. Projects will be tailored to the individual's prior experience and interests but will center on the utilization of computational techniques to drive clinical prediction or discover new clinical insights using routine clinical data (including electronic health records, imaging, digital pathology, and genomic data).

Ideal candidates will have a PhD and/or MD with a strong background in informatics or a related computational science and demonstrated publication record. Strong problem-solving skills, creative thinking, and programming ability are required. Applicants must possess good communication skills and be fluent in both spoken and written English. Prior experience in machine learning, natural language processing, network analysis, and computer vision are a plus.

Natural language processing and machine learning (wearables and electronic health record data) are the current priority areas of the lab.

The post-doctoral fellow will join a multidisciplinary team of clinicians and scientists in the Department of Radiation Oncology and the Bakar Computational Health Sciences Institute.

Further details are available on the UCSF Office of Career and Professional Development website.

Undergraduate opportunities

Our lab welcomes undergraduates and recent graduates with an interest in medicine and informatics to join us. We hope that this experience will provide preparation for future opportunities in medicine and informatics. Clinical shadowing opportunities are available to those interested.

UC Berkeley students can apply through the Undergraduate Research Apprentice Program.



Data Science Research Specialist

We are recruiting for data science researchers for the lab. Interested candidates across the range of experience are encouraged to apply. Post-baccalaureate candidates are encouraged! We hope that this opportunity will help prepare candidates for future careers in medicine or informatics and data science. Further details and application available on UCSF Recruit.

Clinical trainee opportunities

Our lab welcomes medical students, residents, and fellows from all backgrounds to join us. Projects can be tailored based on the trainee's areas of interest and computational experience (not required).

Additionally, we have specific projects focused on implementation and clinical trials that can benefit from medical knowledge, such as those focused on real world data or protocol development.

UCSF medical students and trainees can apply at UCSF LabSpot.

Graduate training opportunities

Our lab is part of the UCSF-UC Berkeley Joint Program in Computational Precision Health. For more details on how to apply to our PhD program, check out the program website. Please feel free to reach out to us if you are interested.