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Beth Israel Deaconess Medical Center

Teaching hospital delivering patient-centered medical care

Visiting Scientist

Computer VisionConfirmed live in the last 24 hours
Full-timeUnited States$155k - $185k /yrIn-person

About the Job

Requirements

  • A PhD in Biomedical Engineering, Computer Science, Electrical Engineering, Medical Physics, or a related field is required.
  • A strong background in machine learning, deep learning, or computer vision is required.
  • Demonstrated experience with MRI or medical imaging data is required.
  • Proficiency in Python and modern machine-learning frameworks such as PyTorch or TensorFlow is required.
  • A track record of peer-reviewed publications in imaging or AI-related fields is required.

Responsibilities

  • Develop and implement deep-learning models for MRI reconstruction, segmentation, quantification, and image enhancement.
  • Design, optimize, and evaluate AI pipelines to improve image acquisition efficiency, image quality, and robustness.
  • Integrate AI methods with quantitative cardiac MRI imaging biomarkers, including myocardial blood flow, strain, and tissue characterization.
  • Develop and apply methods for multimodality data integration, combining imaging, physiologic signals such as ECG, genetic data, and clinical data for diagnostic and prognostic modeling.
  • Perform model validation, including reproducibility testing, bias assessment, and external validation.
  • Design, develop, and implement user-friendly software platforms for clinical deployment of AI-enabled imaging tools.
  • Serve as a technical lead on funded research projects, including NIH R01s and industry collaborations.
  • Contribute to study design, statistical analysis plans, and imaging endpoints.
  • Lead or co-author manuscripts, abstracts, and grant submissions.
  • Mentor PhD students, postdoctoral researchers, and research staff.
  • Build and maintain scalable AI/MRI pipelines using Python and frameworks such as PyTorch or TensorFlow.
  • Work with large-scale imaging datasets and high-performance computing and GPU environments, including H200 GPUs.
  • Collaborate on data harmonization, curation, and governance across multisite studies.
  • Partner with cardiologists, radiologists, MR physicists, and industry collaborators.
  • Support translation of AI tools toward clinical feasibility and regulatory readiness.
  • Present work at national and international scientific meetings.

Desired Qualifications

  • Experience in cardiac MRI.
  • Familiarity with MRI physics, image reconstruction, or quantitative perfusion or flow.
  • Experience with generative models, including diffusion models, super-resolution, or image synthesis.
  • Prior involvement in NIH-funded research or multisite studies.
  • Interest in clinical translation and real-world deployment.

About the Company

Beth Israel Deaconess Medical Center

Teaching hospital delivering patient-centered medical care

Beth Israel Deaconess Medical Center (BIDMC) serves as a teaching hospital in Boston affiliated with Harvard Medical School, offering a wide range of medical services across inpatient, emergency, outpatient, and urgent care. Its care model centers on delivering high-quality medical treatment to patients, supported by patient access initiatives like OpenNotes, which lets patients view clinicians’ notes online to improve understanding and engagement in their care. The hospital also supports education and research through its affiliation with Harvard, attracting funding for studies and training programs. BIDMC differentiates itself through its patient-centered approach, active patient engagement tools, and a broad network of urgent care centers and outpatient services that extend access to healthcare. The goal is to provide comprehensive, accessible, evidence-based medical care while advancing medical education and research.

Company size
10,001+
Company stage
Grant
Total funding
$5.4M
Headquarters
Boston, MA
Founded
1996

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