Research Data Analyst, Heart Vascular Institute

Site: The Brigham and Women's Hospital, Inc.

 

Mass General Brigham relies on a wide range of professionals, including doctors, nurses, business people, tech experts, researchers, and systems analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching, and community service, striving to provide exceptional care. We believe that high-performing teams drive groundbreaking medical discoveries and invite all applicants to join us and experience what it means to be part of Mass General Brigham.

 

 

Job Summary

The Research Data Analyst will work under the direction of the Principal Investigator to assist graduate students, post-doctoral fellows, clinical fellows, and others with research projects that focus on analytical and computational needs. May perform bench research as needed.

 

Qualifications

We are seeking a research assistant to develop and deploy advanced deep learning and computer vision systems for multimodal surgical data analysis and augmented reality (AR) applications. This position involves building end-to-end AI pipelines that integrate video, imaging, and textual data for intraoperative guidance, surgical education, and clinical decision support. You will work with laparoscopic video, CT/MRI data, 3D models, and point clouds to develop automated tools for segmentation, registration, depth estimation, and 3D visualization. The role also includes building retrieval-augmented generation (RAG) systems around local large language models (LLMs) for secure processing of confidential clinical data.
You will 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.

Required Qualifications

● 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.

Knowledge, Skills and Abilities
- 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.

 

Additional Job Details (if applicable)

What We Offer
● 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.

 

Remote Type

Hybrid

 

Work Location

15 Francis Street

 

Scheduled Weekly Hours

40

 

Employee Type

Regular

 

Work Shift

Day (United States of America)

 

Pay Range

$41,932.80 - $60,340.80/Annual

 

Grade

5

 

At Mass General Brigham, we believe in recognizing and rewarding the unique value each team member brings to our organization. Our approach to determining base pay is comprehensive, and any offer extended will take into account your skills, relevant experience if applicable, education, certifications