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Assistant Professor (Ladder/In-Residence) Biomedical Informatics Research - San Diego California
Company: UC San Diego Location: San Diego, California
Posted On: 01/25/2025
Position overview Position title: Biomedical Informatics Research Salary range: The posted UC Salary scales set the minimum pay at the appointment as determined by appointment type and if applicable, rank and/or step. The base pay range for this position is $118,000- $200,000. Salary is negotiated annually. Additional compensation may be available if the position includes membership in the Health Sciences Compensation Plan. UC Salary information can be found here: https://www.ucop.edu/academic-personnel-programs/compensation/2024-25-academic-salary-scales.html. Application Window Open date: December 2, 2024 Most recent review date: Sunday, Jan 12, 2025 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled. Final date: Tuesday, Dec 2, 2025 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled. Position description The Division of Biomedical Informatics (DBMI) in the Department of Medicine (https://dbmi.ucsd.edu/index.html) at the University of California San Diego is committed to academic excellence and diversity within the faculty, staff, and student body. The Division of Biomedical Informatics seeks world-class talent in biomedical informatics to advance data-powered health and is recruiting outstanding faculty for Assistant Professors. DBMI advances a strong commitment to justice, equity, diversity, and inclusion and seeks faculty with shared commitment academically to this cause. DBMI has research and/or service programs in the following areas: Clinical informatics, clinical research informatics, bioinformatics, biomedical data modeling and ontologies, biomedical natural language processing and information retrieval, health artificial intelligence and machine learning, privacy technology, global health informatics, equity in informatics, population health informatics, quality informatics, vital records and public health informatics, and translational bioinformatics. We currently view our particular areas of strength to include bioinformatics, vital records, as well as health artificial intelligence. Its annual extramural funding exceeds $23M/year. It is currently involved in several ambitious initiatives, including precision medicine such as the NIH All of Us Program (via the Coast to Coast consortium) and real-time cloud computing sepsis prediction. Its faculty also play major roles in large programs and projects that support the NIH, Veterans Administration, CDC, and the State of California. Its educational portfolio includes pre-and post-doctoral training, supported by three training grants including a T15. The selected candidates will be expected to build, conduct, and maintain a high-quality, extramurally funded research program in the areas of biomedical informatics, including the design, implementation, and application of innovative tools, algorithms, and techniques that advance discovery, equity, and health outcomes. The selected candidates will also be responsible for providing high-quality training and teaching. The selected candidates will be expected to provide service to the University and broader academic community at a level commensurate with their career stage and contribute to a collegial and collaborative academic environment. The selected candidates with a clinical focus may be responsible for the clinical care of patients. The appointment at the Assistant Professor level will be based on the candidate's background and experience. Series will include 50% Ladder Rank / 50% In-Residence or 100% Ladder Rank.Appointments require candidates to be partially or fully self-funded. A link to full descriptions of each series is provided for your review: Ladder Rank Professor - see: http://www.ucop.edu/academic-personnel-programs/_files/apm/apm-220.pdf In-Residence Professor - see: http://www.ucop.edu/academic-personnel-programs/_files/apm/apm-270.pdf As a member of the Health Sciences Compensation Plan, the appointee should be aware that there are limitations on outside professional activities, and clinical moonlighting is expressly prohibited. Additional information can be found here: https://www.ucop.edu/academic-personnel-programs/_files/apm/apm-671.pdf Department: http://med.ucsd.eduDivision: http://dbmi.ucsd.edu Qualifications Basic qualifications (required at time of application) Candidates must have a PhD or doctoral degree in biomedical informatics, computer science, related disciplines, or health sciences doctoral degree or must have an MD or equivalent, DO, or DMD. Candidates must have a minimum of three publications within the last 24 months. Candidates must have demonstrated experience in teaching a minimum of one class on a biomedical informatics or related topic. Candidates must also have an independent extramurally-funded research program (NIH R01 or similar) and be partially or fully self-funded. Candidates with an MD or equivalent or DO with clinical responsibilities must have or be eligible for a California medical license or equivalent certification/permit as determined by the Medical Board. Preferred qualifications Candidates with experience in mentoring one or more undergraduate or graduate students in informatics, computer sciences, biomedical informatics, health-related application of computer sciences, health policy, or implementation science are preferred. Candidates with experience teaching one or more classes in health-related application of computer sciences or implementation science are preferred. Application Requirements Document requirements - Curriculum Vitae - Your most recently updated C.V.
- Cover Letter
- Statement of Contributions to Diversity - Applicants should summarize their past or potential contributions to diversity. See our Faculty Equity site for more information.
- COVID-19 Impact Statement - We understand that the COVID-19 pandemic may have had a substantial impact on academic productivity. In our academic hiring processes, we will be keeping this in mind as we consider achievement relative to opportunity. We encourage you to reflect on constraints on opportunity in your field that were caused by the events of the pandemic and where applicable, to discuss your achievements in this light.
(Optional) - Misc / Additional (Optional)
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