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Postdoctoral Scholar in Deep Learning & Uncertainty Estimations from Medical Data Position

Position overview

Salary range: A reasonable estimate for this position is $64,480-$77,327. See Postdoctoral Scholar – Fiscal Year Rates “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 Window

Open date: February 2, 2024

Next review date: Saturday, Jun 15, 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 description

The 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 computer science, biomedical informatics or statistics backgrounds.

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 were published in Cell Reports Methods, Nature Digital Medicine, Cell press, IEEE machine learning conferences, Journal of American Medical Association, and Proceedings of National Academies of Science Engineering and Medicine workshops. Visit our websites for more information about the lab: https://faculty.sites.uci.edu/pratikshahlab/ ; https://www.pratiks.info/publications/all/

Applicants experienced in 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. You will formulate novel statistical methods for uncertainty quantification of patients’ outcomes and use unsupervised learning to discover biologically relevant disease subtypes. Determine feature importance for validating predictions and estimations from fully trained deep neural network models for correlative and matrixed molecular sequencing data. Opportunities to publish in leading journals and machine learning conferences, networking with government funding agencies, industry partners, foundations, and leading academic experts. Training in fellowship writing, teaching/mentoring, oral presentations and review of manuscripts will be provided.

Substantive inquiries about the position should be directed to:
Pratik Shah PhD
Assistant Professor of Pathology and Laboratory Medicine
UC Irvine, School of Medicine
pratik.shah@uci.edu

Interested 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 – Academic Personnel (uci.edu)
Initial appointments are for two years & renewal is based on performance and available support.

Application Procedure - TO APPLY: Please log onto UC Irvine’s RECRUIT located at: https://recruit.ap.uci.edu/JPF08838

Department: https://www.pathology.uci.edu/

QUALIFICATIONS
Basic 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 (required at time of application)
• Experience in applied statistics i.e., probabilistic models and Bayesian models for uncertainty quantification, causality estimates for explainable deep learning, reinforcement learning.
• Experience in open-source deep learning frameworks such as TensorFlow or PyTorch
• Experience using Python, C++, and Java, Linux
• Experience in writing software in a team-oriented environment with version control, issue tracking, and code review with Python (Scikit-Learn Numpy, and Pandas, MATLAB and C++)
• Familiarity with data processing techniques for text and time series clinical data, and knowledge of MySql, MongoDb, 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.

A reasonable estimate for this position is $64,480-$77,327. See Postdoctoral Scholar – Fiscal Year Rates “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.

Qualifications

Basic qualifications (required at time of application)

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

Application Requirements

Document requirements
Apply link: https://recruit.ap.uci.edu/JPF08838

About UC Irvine

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 anti-discrimination policy.

As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

Job location

Irvine, CA