Overview:
Our team at UCSF is seeking one or two postdocs to join the division’s initiatives in Consumer Digital Health Informatics. The field of Consumer Digital Health Informatics involves leveraging smartphones, wearables, websites, and other consumer devices to collect data used to train AI models to create digital diagnostic, digital therapeutic, and remote patient monitoring solutions.
Hosted in the UCSF Division of Clinical Informatics and Digital Transformation (DoC-IT), we seek a postdoc who is interested in the intersection of machine learning, human-centered design, mobile or web development, and running user studies to create novel digital platforms to support AI-powered diagnosis, remote patient monitoring, and adaptive digital interventions.
The Division of Clinical Informatics and Digital Transformation (DoC-IT) within the Department of Medicine serves as the academic home for applied clinical informatics at UCSF. DoC-IT also serves as a coordinating entity with key internal and external digital stakeholders across all UCSF mission areas, schools, departments, and divisions. The Division is also the home of UCSF’s Clinical Informatics Fellowship, and partners with other UCSF entities to develop new education and training programs. Lastly, DoC-IT forges novel partnerships with UCSF health systems, other UCSF affiliates, and industry partners to ensure that our work has real-world impact.
Job Description:
DoC-IT within UCSF is looking for a postdoctoral fellow to lead efforts in consumer digital health informatics. There is a wide breadth of possible projects, all of which involve some subset of the following activities: analyzing multimodal datasets including both device data (e.g., wearables or fitness trackers) and electronic health records, building AI-powered smartphone apps for digital mental health therapeutics, building digital diagnostic platforms on the web, analyzing novel datasets that are collected through the platforms (and have already been collected), running recruitment efforts to collect novel datasets from the aforementioned mobile/web/wearable platforms, and running participatory co-design sessions with patients and clinicians to glean HCI insights in human-centered AI as applied to consumer digital health.
The postdoctoral scholar will disseminate their findings through first-author research papers, conference presentations and publications, and public/community engagement. The postdoctoral scholar will also receive mentorship in activities such as writing their own K99/R00 grants, running their own research lab, and transitioning into research independence.
The initial appointment will be for 1-2 years, with an opportunity for extension pending performance and availability of funds.
UC San Francisco seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. 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.
This is a hybrid or remote position. Hybrid is preferred, but remote options will be possible for exceptional candidates.
Job Requirements
Required Qualifications:
• Currently has or is in the process of obtaining a PhD in Information Science, Biomedical Data Science, Health Informatics, Computational Precision Health, Health Data Science, Computer Science, or a related area
• First-authored publications at leading journals and/or conferences
• Experience working with OR clear ability to transfer existing skills to work with data from wearables, mobile devices, videos, or other high-dimensional data collected from devices or multimedia streams
• Experience in Python for machine learning (deep learning)
• Effective communication and interpersonal skills
• Ability to communicate technical information to technical and non-technical personnel at various levels in the organization
• Self-motivated and works independently and as part of a team. Able to learn effectively and meet deadlines
• Demonstrated broad problem-solving skills
Preferred Qualifications:
• Experience recruiting and engaging with participants for digital health studies
• Software development experience (either mobile or web is fine, with the ability to pick up new frameworks)
• Experience with Amazon Web Services (AWS)
• Ability to engineer full-stack systems, picking up new APIs and other tools as needed for the job
• Experience writing IRB protocols
• Qualitative data analysis experience
How to Apply:
Please email a cover letter describing your qualifications for the position and a current CV to: Stephanie.chuc@ucsf.edu
Questions about the position can be directed to: peter.washington@ucsf.edu
Applications received by April 1, 2025 will be given priority consideration.