Clinical Research Data Analyst III

Day-to-day responsibilities may include

• Extracting and managing data from institutional data warehouses
• Developing, maintaining, and documenting high-quality, reusable queries and data pipelines
• Translating complex research questions into structured data specifications and analytic workflows
• Collaborating with CTSI informatics and research teams to support grant-funded and investigator-initiated studies
• Contributing to data governance, validation, and QA processes that ensure regulatory compliance
• Supporting systems integrations that enhance business workflows, including Git, Salesforce, and REDCap
• Participating in process improvement initiatives that advance team efficiency and data quality
• Meet with research teams to map study requirements into clear data specifications
• Produce scope-of-work documents, including timelines and effort estimates
• Execute SOWs through data extraction, QA, analysis, and documentation
• Communicate progress and findings to research partners throughout the project
• Support ongoing development of our data platforms, tools, and workflows
• Contribute to CTSI research, innovation, and operational initiatives as assigned

• Master’s degree in Data Science, Computer Science, Health Informatics, or a related field
• 3+ years of experience working with healthcare, biomedical, medical device, or clinical research data in an analyst role
• Proficiency in SQL for querying large relational databases
• Experience with programming languages for data analysis (Python, R, and/or Julia)
• Experience with Git/Git Hub for version control
• Strong attention to detail with experience in data validation and quality assurance
• Excellent communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders
• Experience with large language models (LLMs) or natural language processing (NLP) in a biomedical setting
• Experience with Epic Clarity/Caboodle, Databricks, and cloud-hosted data platforms
• Familiarity with clinical data standards such as FHIR, OMOP, and i2b2
• Knowledge of HIPAA, human subjects protections, and clinical research regulations
• Experience working within an academic medical center or CTSI environment
• Active clinical experience or strong clinical domain knowledge

Candidates with the following experience will be particularly competitive:

• Experience with Epic data models
• Experience using OHDSI toolsets and the OMOP Common Data Model (CDM)
• SQL experience within Databricks environments
• Experience with biomedical NLP
• Clinical practice experience or applied clinical expertise

This is a unique opportunity to work at the intersection of informatics, implementation science, and translational research. You’ll join a mission-driven team dedicated to improving health by accelerating the translation of evidence into clinical and community practice. Your work will directly support researchers, enhance data infrastructures, and shape how data informs care and discovery across Tufts Medicine and our partners.