Research Data Analyst Radiology Bharti's Lab

Mass General Brigham•Boston, MA

8h•Onsite

About The Position

The Trauma Imaging Research and Innovation Center (TIRIC) at Brigham and Women’s 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. 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 nation’s 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 MD–PhD 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.

Requirements

Bachelor’s 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
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

Nice To Haves

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

Responsibilities

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