Research Programmer Analyst Sr

• Assists with defining functional requirements, assists with formulating technical specifications, and researches and evaluates alternatives for moderately complex custom applications and processes that support research.
• Develops, tests, debugs, documents, and maintains automated routine extract, transform, and load (ETL) processes that comprise data infrastructure for research. May coordinate the technical aspect of and regularly participates in data mapping and cleaning activities. Makes recommendations and improves data quality within research data infrastructure.
• Implements moderately complex features, develops complex test cases, fixes complex defects, and documents self-contained applications written in Java or R that are used within research data infrastructure, to support the Biorepository and Specimen Resource Center (BSRC), and on research applications. Deploys changes to on-premises and cloud production environments.
• Develops, tests, and debugs complex SQL and moderately complex R, Python, or SAS code to deliver reproduceable and scalable analysis-ready datasets. Documents processes and rationales with code. Provides data dictionaries and descriptive statistics with datasets as appropriate.
• Works with senior programmers to develop stub methods and functions with appropriate documentation for code that that can be generalized and repurposed within internal libraries and packages. Develops more detailed technical specifications.
• Ensures datasets are accessible and provided to research investigators and stakeholders in a manner consistent with Health Insurance Portability and Accountability Act (HIPAA), Institutional Review Board (IRB), legal agreements, policies and procedures, and other appropriate standards.
• Increases collaboration, efficiency, and standardization within the department by contributing and improving documentation, code repositories, and internal packages. Regularly reviews pull requests. Engages with larger analytics community.

Licensure, Registration, and/or Certification Required:

• Epic Clinical Data Model certification issued by Epic (COG240). needs to be obtained within 6 months, and
• Epic Caboodle Data Model certification issued by Epic. needs to be obtained within 6 months, and
• Epic Clarity Data Model certification issued by Epic (CLR110). needs to be obtained within 6 months.

Education Required:

• Bachelor’s Degree in Computer Science or related field.

Experience Required:

• Typically requires 4 years of experience in data management and integration, design and development, program management, and/or report writing.

Knowledge, Skills & Abilities Required:

• Knowledge of data integration, data warehouse design and management of enterprise data warehouse systems.
• Exposure to building and maintaining ETL processes through ETL tools (e.g., Pentaho Data Integration).
• Proficient in SQL and understanding of database-specific procedural languages (e.g., PL/SQL, T-SQL).
• Proficient in statistically oriented programming languages (e.g., R, Python, SAS) or Java.
• Basic understanding of health care data, processes and workflows, and research methodology with strong analytical, logic and creativity skills.
• Knowledge of Health Insurance Portability and Accountability Act (HIPAA) patient confidentiality and privacy regulations.
• Ability to explain technical subjects to non-technical clients.
• Ability to work independently, or as part of a team and balance multiple priorities.

Physical Requirements and Working Conditions:

• Position may require travel which may result in exposure to road and weather hazards.
• Exposed to normal office environment.
• Operates all equipment necessary to perform the job.

This job description indicates the general nature and level of work expected of the incumbent. It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the incumbent. Incumbent may be required to perform other related duties.