Clinical & Translational Research Innovation Analyst III – Remote or Hybrid

Job Summary

The Clinical and Translational Science Institute (CTSI) is seeking a highly motivated Software Product Development Analyst III to support clinical and translational research by extracting, transforming, analyzing, and interpreting data from diverse clinical, research, and administrative systems. The analyst will work closely with investigators, project managers, and informatics staff to deliver high-quality datasets and notebooks that advance research and improve data-driven decision making.

Responsibilities

• Extract and manage data from institutional data warehouses
• Develop, maintain and document high quality reusable queries, and pipelines
• Translate complex research questions into structured data requests and analytic workflows
• Collaborate with CTSI informatics, and research teams to support grant-funded and investigator-initiated studies
• Contribute to data governance and quality assurance processes that ensure regulatory compliance
• Facilitate process improvement initiatives

Qualifications

• Bachelor’s degree in Information Technology, Computer Science & Engineering, or related field
• Five (5) years of software development experience, including one (1) year of mobile development experience and two (2) years of application programming interface development and integration experience

Preferred Qualifications

• Master’s degree in data science, computer science, health informatics, or related field
• Three (3) to five (5) years of experience working with healthcare, biomedical / medical device or clinical research data in a data analyst capacity
• Proficiency with SQL for querying large relational databases
• Experience with programming languages for data analysis, such as Python, R, or Julia
• Experience with version control and workflow tools such as Git/GitHub
• Strong attention to detail, data validation, and quality assurance skills
• Excellent communication skills with ability to collaborate with technical and non-technical stakeholders
• Active clinical experience preferred
• Experience with LLMs/NLP, to support research data processing, natural language analytics, and workflow automation
• Experience with Epic Clarity/Caboodle, Databricks, cloud hosted apps and data
• Familiarity with clinical data, and standards such as FHIR, OMOP, i2b2, and other clinical research data models
• Familiarity with HIPAA, and human subjects research protections
• Experience in an academic medical center or CTSI environment
• Knowledge of clinical research processes and study design