POSTDOC POSITION
- PRIMARY RESPONSIBILITIES
- Develop tools for monitoring, diagnosing, and updating ML/AI systems in real-world clinical settings with rigorous statistical guarantees. See example papers from our group here, here, here, here, and here.
- 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
- QUALIFICATIONS: The position requires at least a PhD degree or equivalent in (bio)statistics, computer science, data science, or another relevant field. 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
DATA SCIENTIST POSITION
- PRIMARY RESPONSIBILITIES:
- Architect, implement, and maintain ETL pipelines that extract data from the Electronic Health Record (EHR) system and support monitoring, diagnosing, and updating ML/AI systems in real-world clinical settings
- Design and implement robust, scalable software libraries and data pipelines
- Collaborate with deployment teams to integrate tools into real-world systems
- QUALIFICATIONS: The data scientist position requires a BS (preferably MS) in computer science, data science, (bio)statistics, or related areas. We are looking for someone who:
- has a strong software engineering background
- has experience in building ETL pipelines
- is excited to getting their hands dirty with real-world clinical data
- 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.feng@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 (e.g. a github repo of yours that you are most proud of)
- One representative publication (Optional for data scientist applicants; Required for postdoc applicants)