Research Data Analyst, Radiology TIRIC

About This Role

Join a multidisciplinary research team at the Trauma Imaging Research and Innovation Center (TIRIC) to conduct high-impact, real-world research at the intersection of machine learning, large-scale clinical data, medical imaging, and public health. This role involves building, querying, and analyzing clinical datasets and supporting the development and deployment of machine learning models.

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

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

Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, Applied Mathematics, or a related field

Nice to Have

• 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

Skills

* Required skills

Benefits