Research Data Analyst, Radiology TIRIC
Boston, NH - USA
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 Trauma Imaging Research and Innovation Center (TIRIC) at Brigham and Womens Hospital seeks a full-time Research Data Analyst with a strong computer science and interests in data engineering machine learning systems or applied ML research to join our multidisciplinary research team. 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.Qualifications
As a Research Data Analyst you will play a hands-on technical role with increasing intellectual ownership in building 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 nations largest healthcare environments. You will work closely with clinicians data scientists PhD students and engineers to translate complex clinical questions into scalable computational pipelines and research outputs.
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 MDPhD training in computer science machine learning biomedical informatics or related fields. Research Data Analysts 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
- Building reproducible data pipelines 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 and leading development refinement and evaluation of machine learning models
- Debugging and optimizing 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
- 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
- Bachelors degree in Computer Science Data Science Engineering Applied Mathematics or a related field
- Strong working knowledge of SQL and experience querying large relational databases
- Proficiency in Python for data analysis and machine learning workflows (e.g. PyTorch 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
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
- 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 Data Analysts 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.
Additional Job Details (if applicable)
Start date: Spring/Summer 2026 (flexible)
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
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.