Postdoctoral Fellow-MSH-32030-002

Job Description Title: Postdoctoral Fellow Salary: $74,692.00 Department: BMEII (BioMedical Engineering and Imaging Institute) - Radiology Physical work location: (must be proper street address) + Leon & Norma Hess Center for Science and Medicine 1470 Madison Ave, 1 st Floor New York, NY 10029 Name PI or Supervisor: (include phone and email) + Bachir Taouli, MD, MHA (212) 824-8475 Web link to Lab: Web link to Department: Administrative Contact: (phone and email) + Katherine Wang (212) 824-8476 + Gilbert Aguinaldo (212) 824-8459 Qualifications Educational and other Requirements for the position: + MD/PhD, PhD or MSc + Radiologist (in-training acceptable) Experience Required: + Experience with imaging quantification methods + Familiar with radiomics and texture analysis in oncology Goals/Outcomes of the Research Project: + The project seeks to deliver on a radiomics machine learning model for the characterization of indeterminate nodules in cirrhosis. In other words, we will provide a tool (model and nomogram) that will input clinical variables, liquid biopsy data and radiomics features and return a reclassification of the indeterminate nodule into either benign or malignancy with a high probability. This will decrease the inherent uncertainty of the current LI-RADS classification. Responsibilities Details of Research Project: + Liquid Biopsy and radiomics for liver cancer surveillance (NCI funded study) + Aim 1: To conduct a phase 2 biomarker study testing liquid biopsy to detect curable HCC. + Aim 2: To integrate clinical data, liquid biopsy and MRI-based radiomics to characterize indeterminate liver nodules in cirrhosis. + You may also participate in other research studies involving multiparametric MRI in abdominal cancers (eg, liver cancer, pancreatic cancer or rectal cancer etc). Technical Duties: (include any protocols) + The primary responsibility of this position is to build an imaging database, acquire, process and analyze MRI data, with an emphasis on radiomics and machine learning analysis + Your responsibilities in this research are to build an imaging dataset or radiomics libraries in pre-cancerous liver nodules and liver cancer based on imaging (CT and MRI). All technical and infrastructural requirements needed for this project, including imaging equipment, image post-processing software histological resources are available at the Icahn School of Medicine at Mount Sinai. + The research projects at our institution comply with our institutional review board and are in conformity with international ethical standards. Your participation is solely for the purposes of observation, consultation, teaching, or research. No element of patient care will be involved. 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Created: 2025-11-15