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Home > Postdoctoral Fellow in Consumer Digital Health Informatics at UCSF Postdoctoral Fellow in Consumer Digital Health Informatics at UCSF Location: 10 Koret Way, San Francisco, CA 94143-2218, United States Job Posted Date: February 20, 2025 Population: Global Health 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. 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 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 may be possible for exceptional candidates (pending UCSF administrative approval). 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. DoC-IT serves as the academic home for applied clinical informatics researchers within the UCSF Department of Medicine. We also serve as a coordinating entity with key internal and external digital stakeholders across all UCSF mission areas, schools, departments, and divisions. Within the division, we aim to launch activities that foster research, support career development, and advance DEI. As the home of UCSF’s Clinical Informatics Fellowship (CIF), we partner with other UCSF entities to develop new education and training programs. DoC-IT also forges novel partnerships with the UCSF Health system, other UCSF affiliates, and industry partners to ensure that our research has real-world impact. #J-18808-Ljbffr University of California

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