Brigham and Women's Hospital · 6 hours ago
Research Data Analyst, Heart Vascular Institute
Boston, MA
Full-time
Hybrid
New Grad, Entry Level
$42K/yr - $60K/yrBrigham and Women's Hospital is a not-for-profit organization that supports patient care, research, teaching, and community service. The Research Data Analyst will assist with research projects focusing on analytical and computational needs, collaborating closely with cardiac surgeons and researchers to develop AI-driven systems for surgical data analysis.
Health CareMedical
Responsibilities
Assist graduate students, post-doctoral fellows, clinical fellows, and others with research projects that focus on analytical and computational needs
Perform bench research as needed
Develop and deploy advanced deep learning and computer vision systems for multimodal surgical data analysis and augmented reality (AR) applications
Build end-to-end AI pipelines that integrate video, imaging, and textual data for intraoperative guidance, surgical education, and clinical decision support
Work with laparoscopic video, CT/MRI data, 3D models, and point clouds to develop automated tools for segmentation, registration, depth estimation, and 3D visualization
Build retrieval-augmented generation (RAG) systems around local large language models (LLMs) for secure processing of confidential clinical data
Collaborate closely with cardiac surgeons, postdoctoral researchers, and computational scientists to translate clinical ideas into working AI-driven systems
Contribute directly to publications and translational research initiatives
Qualification
Required
Strong programming and software engineering skills, with expertise in Python and deep learning frameworks such as PyTorch and TensorFlow
Experience with computer vision and medical imaging libraries (OpenCV, scikit-image, 3D Slicer, ParaView)
Familiarity with 3D modeling, registration, and mesh processing (.stl, .obj) and AR frameworks (Unity, Apple ARKit)
Background in training, deploying, and benchmarking ML models for segmentation, phase recognition, or depth estimation
Proficiency in building RAG systems, vector databases, and local LLM deployments, ensuring data privacy and confidentiality
Experience with cloud and on-premise environments, including GPU clusters, Docker, Proxmox, and AWS
Bachelor's degree in Computer Science, Biomedical Engineering, or a related technical field with strong knowledge of machine learning and AI
Understanding of human pathophysiology, hematologic function, pregnancy physiology and related fields of study
Understanding of mathematical modeling, including dynamical systems, statistical analysis, and computational methods
Ability to work collaboratively as part of a team and with supervision from team members
Ability to work productively with scientists and clinicians at all levels
Works in an organized manner with the ability to follow instructions, processes and timelines
Can identify roadblocks occurring within areas of responsibility and refer them to the appropriate party(s) for assistance
Strong computer skills, including accurate data entry
Benefits
Comprehensive benefits
Career advancement opportunities
Differentials
Premiums and bonuses
Recognition programs
Company
Brigham and Women's Hospital
Brigham and Women's Hospital is an academic medical center based in Boston, Massachusetts.
Founded in 1986
10001+ employees
H1B Sponsorship
Brigham and Women's Hospital has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (219)
2024 (174)
2023 (202)
2022 (220)
2021 (137)
2020 (157)
Funding
Current Stage
Late StageTotal Funding
$22.15MKey Investors
American Medical AssociationThe Leona M. and Harry B. Helmsley Charitable TrustMassachusetts Life Sciences Center
2023-06-21Grant
2022-06-30Grant· $16M
2021-01-08Grant· $0.4M
Leadership Team
Caroline Fox
Associate Professor (Part Time), Medicine
David Silbersweig
Chairman Emeritus
Recent News
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