Postdoctoral Research Fellow- Machine Vision/Image Analysis

Company: Massachusetts General Physicians' Organization
Location: Boston
Posted on: November 20, 2024

Job Description:

Job Description - Postdoctoral Research Fellow - Machine Vision/Image Analysis (3306314)Employer DescriptionMassachusetts General HospitalThe Tearney Lab is an 80+ person multidisciplinary lab led by Guillermo (Gary) Tearney, MD, PhD. The goal of the Tearney Lab is to see every cell in the human body so that disease can be detected at its earliest stages when it can be cured.To this end, the lab has pioneered multiple optical coherence tomography (OCT) devices that enable 3D imaging at the microscopic scale in living human patients. These technologies include multimodality OCT where OCT is combined with spectroscopy, fluorescence, and other optical techniques, ultrahigh-resolution OCT ( -OCT) where the resolution is sufficiently detailed to visualize individual cells, and functional OCT that measures the function and metabolism of cells in living systems. These technologies are implemented in a variety of devices (endoscopes, catheters, capsules, implantable) that provide accessible imaging anywhere inside the body. The lab has major programs to overcome clinical diagnostic challenges in celiac disease, food allergy disorders, malnutrition, coronary artery disease, hearing loss, GI cancer, and cystic fibrosis, among others.Job DescriptionThe role will:

• Focus on advancing state-of-the-art in automated cancer detection via medical image analysis to solve challenging problems in processing, evaluating, and interpreting clinical and pre-clinical data.
• Develop a set of semi-automated and automated image processing and analysis applications, including segmentation, classification, registration, feature extraction and pattern detection.
• Work closely with the technology development teams and clinical collaborators.
• Implement analysis technologies in one or more of the following organ systems: heart, lungs, brain, ears, esophagus, colon.
• Guide research questions, design studies, and monitor the execution of those studies.
• Hold regular technical meetings.
• Publish in world-leading high impact journals.
• Deliver milestones on time.A Postdoctoral research fellowship in optical coherence tomography (OCT) machine learning classification is available in the Tearney Lab (www.tearneylab.org) at the Massachusetts General Hospital (MGH) in the Wellman Center for Photomedicine.Job RequirementsA Ph.D. (or equivalent) in Computer Science or Engineering, Biomedical Engineering, Electrical Engineering, Physics, or a related field is required.Required Skills

• A background in using machine learning to solve problems in optical coherence tomography along with multiple publications.
• Experience on deep learning frameworks such as PyTorch, Keras or TensorFlow.
• Experience with OCT image analysis and OCT machine learning.
• A strong understanding of classical image processing techniques using MATLAB, ImageJ, and Python.Desired Skills
  • Intel Integrated Performance Primitives (IPP), embedded operating systems, Arduino, and GPU programming are helpful.
  • An understanding of different types of in-vivo medical imaging systems such as fluorescence microscopy, spectroscopy, ultrasound, photoacoustics.
  • A working understanding of histological processing methods and identification of normal and abnormal tissue in several disease types.
  • A working understanding of tissue optical properties.Contact InformationInterested candidates are encouraged to send a CV accompanied by a cover letter describing any previous research training, specific areas of interest, and contact information for three letters of reference. Address correspondence to Dr. Gary Tearney, note the position you are applying for in the subject line, and send by email to tearneylabsearch@partners.org.MGH is an equal opportunity employer.
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Keywords: Massachusetts General Physicians' Organization, Malden , Postdoctoral Research Fellow- Machine Vision/Image Analysis, Other , Boston, Massachusetts