Postdoctoral Research Fellow

19 hours ago


Syracuse, New York, United States Upstate University Hospital Full time

{"Job Title": "Postdoctoral Associate", "Job Summary": "The Pathology Research Core facility at the Department of Pathology is seeking a highly motivated postdoctoral research fellow to join our team. As a postdoctoral research fellow, you will have the opportunity to work on cutting-edge research projects in computational pathology, omics approaches, and artificial intelligence. Our lab focuses on developing innovative imaging biomarkers to better risk stratify cancer patients and creating AI-based algorithms for predicting treatment responses in cancer patients. You will work closely with our team of researchers, pathologists, and medical experts to develop computer vision algorithms for analyzing and interpreting digital pathology images.

Responsibilities:

* Develop and apply automated analytical pipelines for various types of pathology data, including histopathology images and multi-omics information.
* Provide an opportunity to gain insights into academia-industry relationships or partnerships with biotech companies.
* Provide an experience in practice-driven implementation of digital pathology research projects.
* Collaborate closely with pathologists, medical experts, and research teams to develop computer vision algorithms for analyzing and interpreting digital pathology images.
* Document research findings, methodologies, and codebase for internal knowledge sharing and external publications.
* Effectively communicate and present research findings, project plans, and AI strategies to both technical and non-technical team members and stakeholders.

Requirements:

* Advanced degree (Ph.D., D.V.M., or M.D./Ph.D.) in life sciences and healthcare field, or computer science, or biomedical engineering.
* Proficiency in data science and biostatistics for analyzing large-scale clinical and genomics data.
* Experience with large-scale imaging data and formats (e.g., pathology images) and image analysis software (Visiopharm, Halo, QuPath, Image J, or others).
* Experience with digital pathology and image analysis projects using open-source (QuPath, Image J, or others) or proprietary image analysis software (Visiopharm, Halo).
* Experience analyzing different modalities, such as histopathology, radiology, and spatial transcriptomics, using state-of-the-art deep-learning techniques.
* Experience in developing, training, and evaluating deep-learning models using public deep-learning frameworks (e.g., PyTorch, TensorFlow, Keras) is preferred.
* Expertise in programming languages, such as Python, C++, Java, with familiarity with Linux is preferred.

Work Environment:

* Monday-Friday

Message to Applicants:

RecruitmentOffice: Human Resources"}



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