A postdoctoral fellow position is available in Dr. Yifan Peng’s laboratory in the Department of Population Health Sciences at Weill Cornell Medicine, starting Fall 2021. Our laboratory is primarily interested in developing and applying computational approaches to biomedical text data and medical images. Our research has focused on biomedical text mining (e.g., BlueBERT, NegBio, LitVar), medical image analysis (e.g., NIH Chest X-ray, DeepSeeNet), and their combination (e.g., TieNet). The successful applicant will work on biomedical or clinical NLP, such as using the radiology-specific ontology, NLP, image analysis and DL to construct a radiology-specific knowledge graph.
Qualifications: Applicants must have trained with a strong emphasis on text mining. Preference will be given to individuals with expertise in big data/modeling and those with a keen interest in healthcare or life sciences. The position is open to graduating Ph.D. or M.D./Ph.D. students in computer science, bioinformatics, health informatics or a related discipline. Current postdoctoral fellows with less than three years of postdoctoral experience are also welcomed.
Appointments are initially for two years. The positions can be extended for one or two additional years at the end of the first year based on performance. Stipends are commensurate with research experience and education.
To apply: Please submit a CV and a one-page research statement to Dr. Yifan Peng at firstname.lastname@example.org. Shortlisted candidates will have an online interview.
Dr. Peng is an assistant professor in the Department of Population Health Sciences at Weill Cornell Medicine. His main research interests include BioNLP and medical image analysis. His current projects focus on applying information extracted through NLP and image analysis on radiological data classification and retinal disease prognosis. Dr. Peng has published many papers in top journals and conferences, including Nucleic Acids Research, npj Digital Medicine, JAMIA, CVPR and MICCAI. He is also an academic editor for PLoS ONE and has served as reviewer for major journals/conferences, including Nature Medicine, Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), and ACL. Before joining Weill Cornell Medicine, Dr. Peng was a research fellow at the National Center for Biotechnology Information (NCBI), National Library of Medicine (NLM), National Institutes of Health (NIH). He is the first awardee at the NCBI to receive the NIH K99/R00 grant, which supports his work on using NLP and ML to extract radiology specific domain knowledge and build an automated reporting system.
Weill Cornell Medicine is located in Manhattan, New York, immediately adjacent to the Memorial Sloan Kettering Institute and Rockefeller University. As such, it offers the exposure to a dynamic and vibrant scientific environment that provides unique and unparalleled research training opportunities, including seminars given by scientific leaders from throughout the world, exposure to diverse research programs, highly sophisticated core facilities, grant writing workshops, career exploration events and professional development workshops. Weill Cornell Medicine provides subsidized housing for eligible postdocs.
Weill Cornell Medicine is an equal opportunity employer committed to excellence through diversity and strongly encourages applications from all qualified applicants, including women and minorities.