Postdoctoral Scholar

Location
Los Angeles, California
Salary
Commensurate with experience
Posted
April 08 2021
Position Type
Full Time
Organization Type
Academia
Job Type
Postdoc

Description:

The Computational Diagnostics Lab (CDx) at UCLA is seeking a postdoctoral scholar with expertise in machine learning or computational biology with applications in medical imaging or other healthcare/biomedical data. Successful candidates will work semi-independently under the supervision of the program PI to develop novel computational approaches for analyzing and integrating clinical data. In particular, successful candidates will have a focus on exploring the fusion of health record, radiology, pathology, and omic information for assisting in diagnosis, treatment selection, and prognosis. Example research areas include, but are not limited to: 1) methods for learning from weakly labeled data; 2) recurrent neural networks for modeling visual attention to automatically locate areas of interest in radiologic and pathologic images; 3) unsupervised feature generation techniques for integration with predictive models; 4) methods for translating voxel-wise labels to patient-level predictions; 5) techniques for implementing multi-modal frameworks that combine imaging, molecular, and clinical data; 6) methods for anomaly detection that allow for diagnostic decision support; 7) cancer growth pathway modeling; 8) the function of cancer genes; 9) cancer cell-cell and cell-matrix interactions; and 10) tumor immunology. Successful candidates are expected to conduct research, present results at scientific conferences, publish findings in peer-reviewed journals, and assist in grant preparation.

Requirements:

We seek qualified individuals who are highly motivated, flexible, detail-oriented, collaborative, and hold a commitment to research excellence. Candidates should have a PhD in Computer Science, Electrical Engineering, Computational Biology, Statistics, or a related field and have strong experience in at least one of the following areas: machine learning, image analysis, deep learning, computational anatomy, cancer computational biology, or computational biomodeling. Candidates with previous research experience working with healthcare data are highly desirable.

To Apply:

Please email a cover letter explaining relevant work experience, a CV, and the names and contact information for three references (to be contacted following an interview) to:

Corey W. Arnold, PhD

Associate Professor, Departments of Radiology and Pathology

University of California, Los Angeles

924 Westwood Blvd Ste 420

Los Angeles, CA 90024

Email: cwarnold@ucla.edu

About the lab:

The UCLA Computational Diagnostics Lab (CDx) investigates data driven methods for extracting discriminative signals from healthcare data. Our work incorporates imaging, pathology, and clinical data in machine learning and deep learning frameworks, with an emphasis on multi-modality data fusion. Current application areas include stroke characterization, prostate cancer detection, and heart failure exacerbation prediction. Learn more at https://cdx.seas.ucla.edu.

Cultural North Star. The shared values of the DGSOM are expressed in the Cultural North Star, which was developed by members of our community and affirms our unswerving commitment to doing what’s right, making things better, and being kind. These are the standards to which we hold ourselves, and one another. Please read more about this important DGSOM program at https://medschool.ucla.edu/cultural-north-star.

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, national origin, sexual orientation, gender identity, disability, age or protected veteran status. For the complete University of California Nondiscrimination and affirmative action policy see: UC Nondiscrimination & Affirmative Action Policy.

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