Research Assistant I, Trauma Imaging, Radiology

Mass General Brigham•Boston, MA

23h•Onsite

About The Position

The Trauma Imaging Research and Innovation Center (TIRIC) at Brigham and Women’s Hospital seeks a full-time Research Assistant to join a multidisciplinary team working at the intersection of clinical care, research, and innovation. TIRIC conducts high-impact, real-world research at the intersection of machine learning, large-scale clinical data, medical imaging, and public health, with close collaboration across Mass General Brigham (MGB), MIT, and select external academic collaborators. This individual will serve as the primary Research Assistant for TIRIC and will be central to the day-to-day operations of the center, supporting multiple active projects simultaneously and helping maintain continuity across research, regulatory, and administrative workflows. This role is centered on coordinating complex, multi-stakeholder research projects, supporting clinical studies, and facilitating collaboration across Mass General Brigham (MGB), MIT, and clinical departments. The Research Assistant will play a key role in ensuring that projects move forward efficiently by integrating efforts across clinicians, researchers, data scientists, and institutional teams. While exposure to data analysis and machine learning is part of the role, the primary focus is on research coordination, regulatory processes, and multidisciplinary collaboration. As a Research Assistant (RA), you will play a hands-on technical role with increasing intellectual ownership in running, querying, and analyzing large-scale clinical datasets using Snowflake, SQL, and Python, supporting the development, evaluation, and deployment of machine learning models for conference submissions and peer-reviewed manuscripts within one of the nation’s largest healthcare environments. You will work closely with clinicians, data scientists, PhD students, and engineers to translate complex clinical questions into integrating results in SharePoint and PowerBI. This position offers opportunities to contribute intellectually to study design, methodological development, and scientific writing, with mentorship tailored to candidates planning to pursue PhD or MD–PhD training in computer science, machine learning, biomedical informatics, or related fields. Research Assistants at TIRIC gain direct exposure to real-world clinical data at scale, rigorous applied machine learning research, and collaborative academic environments that support long-term research and academic career development. This role is ideal for a self-driven, technically strong candidate seeking deep exposure to applied machine learning, healthcare data infrastructure, and translational research, without significant direct patient interaction. TIRIC is deeply committed to mentorship and career development, and this role is designed to prepare trainees for careers in academia, biomedical AI, public health, or biomedical research.

Requirements

Bachelor’s degree required.
0-1 yrs of experience. Those with additional years of experience will also be considered.
Familiarity with SQL or experience querying databases
Some experience with Python for data analysis (e.g., Pandas, NumPy)
Comfort working with complex, real-world datasets
Highly motivated, independent, and detail-oriented
Strong problem-solving and analytical skills
Comfortable working in interdisciplinary teams with clinicians, engineers, and researchers
Excellent written and verbal communication skills

Nice To Haves

Preferred: Computer Science, Data Science, Engineering, Applied Mathematics, or a related field
Prior experience querying and managing data in Snowflake or comparable cloud-native, distributed analytics platforms
Experience with healthcare, EMR, or large administrative datasets
Exposure to machine learning, statistics, or computational research
Coursework in artificial intelligence, machine learning, deep learning, and/or data science
Familiarity with version control (e.g., Git) and reproducible research practices
Experience with SharePoint, Power BI, or similar reporting and data visualization tools
Interest in healthcare, medicine, public health, or medical AI

Responsibilities

Querying and managing large-scale clinical datasets using Snowflake and SQL
Running and maintaining data pipelines in Snowflake using Python and related tools (e.g., Pandas, NumPy)
Performing data cleaning, validation, quality control, and documentation
Organizing multimodal datasets (EMR, imaging-derived variables, clinical outcomes)
Supporting the development, running, and evaluation of machine learning models
Troubleshooting analytical workflows in collaboration with MIT data scientists
Conducting exploratory data analysis and feature engineering
Analyzing quantitative and qualitative data
Generating figures, tables, and summary reports for internal reviews and publications
Integrating model outputs and visualizing results in SharePoint and PowerBI dashboards
Presenting findings at weekly lab meetings and multidisciplinary forums
Performing structured electronic medical record (EMR) reviews
Assisting with coordination of multi-center clinical studies and trials
Contributing to protocol development, SOPs, and manuals of operations (MOOPs)
Assisting in preparation of manuscripts, abstracts, grant proposals, and presentations
Conducting literature reviews and synthesizing findings
Preparing and submitting materials for the Institutional Review Board (IRB), including amendments and annual reports
Organizing and participating in interdisciplinary meetings with MGB and MIT collaborators
Collecting user and clinician feedback via interviews and focus groups
Supporting project management tasks such as agendas, documentation, and meeting minutes