University of California - Irvine
Postdoctoral Scholar in Deep Learning & Uncertainty Estimations from Medical Dat
University of California - Irvine, Irvine, California, United States, 92713
Position OverviewSalary Range:
A reasonable estimate for this position is $64,480-$77,327. See Postdoctoral Scholar - Fiscal Year Rates for "Off-scale salaries" and other components of pay, i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions.Application WindowOpen Date:
February 2, 2024Next Review Date:
Saturday, Mar 2, 2024 at 11:59pm (Pacific Time). Apply by this date to ensure full consideration by the committee.Final Date:
Saturday, Feb 1, 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 DescriptionThe computational medicine lab led by Dr. Pratik Shah at UCI invites applications for a Postdoctoral Scholar position from outstanding Ph.D., MD, or foreign equivalent applicants with strong academic backgrounds in computer science, biomedical informatics, or statistics.The lab is interested in developing novel AI-based technology for quantification and real-world validation of clinical decision-making. Recent research studies from the lab have been published in reputable journals and conferences. Visit our websites for more information about the lab:
Pratik Shah Lab
and
Publications .Applicants experienced in solving critical challenges for developing biologically informed statistical methods and uncertainty estimations for training deployable AI models that establish causal relationships in clinical data will be given preference. The scholar will be responsible for training deep generative reinforcement AI models for learning predictive and prescriptive clinical decision-making from time-varying electronic medical records. Responsibilities include formulating novel statistical methods for uncertainty quantification of patient outcomes and using unsupervised learning to discover biologically relevant disease subtypes. Opportunities to publish in leading journals and conferences, networking with government funding agencies, industry partners, and academic experts will be available. Training in fellowship writing, teaching/mentoring, oral presentations, and manuscript review will be provided.Substantive inquiries about the position should be directed to:Pratik Shah PhDAssistant Professor of Pathology and Laboratory MedicineUC Irvine, School of Medicinepratik.shah@uci.eduInterested candidates should complete the application profile and provide a CV, cover letter including career motivation and why you are interested in joining the lab, and an Inclusive Excellence Activities Statement. Guidance for Writing Inclusive Excellence Activities Statement can be found on the UCI website.Initial appointments are for two years with renewal based on performance and available support.Application Procedure:
Please log onto UC Irvine's RECRUIT located at:
Apply Here .Department:
Department of PathologyQualificationsBasic Qualifications:
Appointment as a Postdoctoral Scholar requires a doctoral degree (e.g., Ph.D., MD) or the foreign equivalent in computer science, biomedical informatics, or statistics.Preferred Qualifications:Experience in applied statistics, including probabilistic models and Bayesian models for uncertainty quantification, causality estimates for explainable deep learning, and reinforcement learning.Experience in open-source deep learning frameworks such as TensorFlow or PyTorch.Experience using Python, C++, Java, and Linux.Experience in writing software in a team-oriented environment with version control, issue tracking, and code review.Familiarity with data processing techniques for text and time series clinical data, and knowledge of MySQL, MongoDB, and databases.Track record of writing and publishing research papers in peer-reviewed journals or top machine learning conferences.Strong analytical and organizational skills; detail-oriented.Committed to mentoring others.The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.Job Location: Irvine, CA
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A reasonable estimate for this position is $64,480-$77,327. See Postdoctoral Scholar - Fiscal Year Rates for "Off-scale salaries" and other components of pay, i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions.Application WindowOpen Date:
February 2, 2024Next Review Date:
Saturday, Mar 2, 2024 at 11:59pm (Pacific Time). Apply by this date to ensure full consideration by the committee.Final Date:
Saturday, Feb 1, 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 DescriptionThe computational medicine lab led by Dr. Pratik Shah at UCI invites applications for a Postdoctoral Scholar position from outstanding Ph.D., MD, or foreign equivalent applicants with strong academic backgrounds in computer science, biomedical informatics, or statistics.The lab is interested in developing novel AI-based technology for quantification and real-world validation of clinical decision-making. Recent research studies from the lab have been published in reputable journals and conferences. Visit our websites for more information about the lab:
Pratik Shah Lab
and
Publications .Applicants experienced in solving critical challenges for developing biologically informed statistical methods and uncertainty estimations for training deployable AI models that establish causal relationships in clinical data will be given preference. The scholar will be responsible for training deep generative reinforcement AI models for learning predictive and prescriptive clinical decision-making from time-varying electronic medical records. Responsibilities include formulating novel statistical methods for uncertainty quantification of patient outcomes and using unsupervised learning to discover biologically relevant disease subtypes. Opportunities to publish in leading journals and conferences, networking with government funding agencies, industry partners, and academic experts will be available. Training in fellowship writing, teaching/mentoring, oral presentations, and manuscript review will be provided.Substantive inquiries about the position should be directed to:Pratik Shah PhDAssistant Professor of Pathology and Laboratory MedicineUC Irvine, School of Medicinepratik.shah@uci.eduInterested candidates should complete the application profile and provide a CV, cover letter including career motivation and why you are interested in joining the lab, and an Inclusive Excellence Activities Statement. Guidance for Writing Inclusive Excellence Activities Statement can be found on the UCI website.Initial appointments are for two years with renewal based on performance and available support.Application Procedure:
Please log onto UC Irvine's RECRUIT located at:
Apply Here .Department:
Department of PathologyQualificationsBasic Qualifications:
Appointment as a Postdoctoral Scholar requires a doctoral degree (e.g., Ph.D., MD) or the foreign equivalent in computer science, biomedical informatics, or statistics.Preferred Qualifications:Experience in applied statistics, including probabilistic models and Bayesian models for uncertainty quantification, causality estimates for explainable deep learning, and reinforcement learning.Experience in open-source deep learning frameworks such as TensorFlow or PyTorch.Experience using Python, C++, Java, and Linux.Experience in writing software in a team-oriented environment with version control, issue tracking, and code review.Familiarity with data processing techniques for text and time series clinical data, and knowledge of MySQL, MongoDB, and databases.Track record of writing and publishing research papers in peer-reviewed journals or top machine learning conferences.Strong analytical and organizational skills; detail-oriented.Committed to mentoring others.The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.Job Location: Irvine, CA
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