Research Assistant I, Trauma Imaging, Radiology

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.

Responsibilities:
Responsibilities include, but are not limited to, the following:
Data Engineering & Analytics
* 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)
Machine Learning & Modeling
* 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
Research & Reporting
* 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
Clinical & Translational Research Support
* 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)
Scholarly Writing & Regulatory Work
* 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
Collaboration & Operations
* 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

Qualifications
Required
* Bachelor's degree required. Preferred: Computer Science, Data Science, Engineering, Applied Mathematics, or a related field

* 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

Preferred
* 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

Personal Attributes
* 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
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Interest in healthcare, medicine, public health, or medical AI Work Environment & Mentorship TIRIC is an inclusive, collaborative, and intellectually rigorous research environment. Research Assistants receive close mentorship, meaningful technical ownership, and opportunities for co-authorship on publications and grants. Our former research assistants and trainees have gone on to top medical schools, PhD programs, industry research roles, and public health careers. TIRIC embraces diversity and is committed to building an equal-opportunity team representing a wide range of backgrounds, perspectives, and skills.
Application Information