Research Data Analyst Radiology… at Mass General… · Boston-MA

Summary: Mass General Brigham is a not-for-profit organization focused on patient care, research, and community service. They are seeking a full-time Research Data Analyst to join the Trauma Imaging Research and Innovation Center, where the role involves building and analyzing large-scale clinical datasets and supporting machine learning model development. Responsibilities: - 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) - 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 - 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 - 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 Required Qualifications: - 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 Preferred Qualifications: - 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 Required Skills: SQL, Python, Machine Learning Important Skills: Snowflake, Data Engineering Nice-to-Have Skills: Analytical Skills, Communication Skills, Problem-Solving, Team Collaboration Benefits: Comprehensive benefits, Career advancement opportunities, Differentials, Premiums and bonuses as applicable, Recognition programs designed to celebrate your contributions and support your professional growth