Research Data Analyst, Heart Vascular Institute
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Job Location:
Boston, NH - USA
Monthly Salary:
$ 41932 - 60340
Posted on:
Yesterday
Vacancies:
1 Vacancy
Job Summary
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.
Bachelors 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
Work Location
Scheduled Weekly Hours
Employee Type
Work Shift
Pay Range
$41932.80 - $60340.80/AnnualGrade
5EEO Statement:
Mass General Brigham Competency Framework
At Mass General Brigham our competency framework defines what effective leadership looks like by specifying which behaviors are most critical for successful performance at each job level. The framework is comprised of ten competencies (half People-Focused half Performance-Focused) and are defined by observable and measurable skills and behaviors that contribute to workplace effectiveness and career success. These competencies are used to evaluate performance make hiring decisions identify development needs mobilize employees across our system and establish a strong talent pipeline.
Required Experience:
IC
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
About Company
Patients at Mass General have access to a vast network of physicians, nearly all of whom are Harvard Medical School faculty and many of whom are leaders within their fields.
