Mass General Brigham · 5 hours ago
Research Data Analyst, Heart Vascular Institute
Mass General Brigham is a not-for-profit organization that focuses on patient care, research, teaching, and community service. The Research Data Analyst will assist with research projects, focusing on analytical and computational needs, while collaborating with various professionals to develop AI-driven systems for surgical data analysis.
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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, contributing 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
Hands-on experience at the intersection of AI, surgery, and biomedical imaging within a collaborative environment at Harvard Medical School.
Mentorship from cardiac surgeons, postdoctoral researchers, and computational scientists on high-impact translational projects.
Opportunities to lead and co-author publications, present at conferences, and develop tools used directly in clinical and research workflows.
A dynamic, research-intensive yet startup-like environment that values innovation, independence, and cross-disciplinary collaboration.
Company
Mass General Brigham
Mass General Brigham specializes in providing medical treatments and health diagnostics services.
H1B Sponsorship
Mass General Brigham has a track record of offering H1B sponsorships. Please note that this does not
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2025 (77)
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2023 (93)
2022 (70)
2021 (80)
2020 (29)
Funding
Current Stage
Late StageLeadership Team
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