Senior Data Programmer

Role & responsibilities

• Develop and maintain data formatter repository structure.
• Develop data formatter for data transfer per project specific data transfer plan (DTP).
• Develop data processing tools for data ingestion and data export.
• Develop test scripts to ensure correct functionality of the developed data management tools.
• Document code, procedures, tests used for data QC, clinical data integration, and data transfer operations.
• Develop data pipelines for integration with internal and external systems.
• Develop Data Transfer Plans in collaboration with the Software Engineering teams.
• Develop in a team environment with source code management.
• Performs other departmental and study-related activities as needed and upon request.

Preferred candidate profile

• Requires an advanced degree (BS or MS (preferred)) in Statistics/Biostatistics/Computer Science/Engineering or equivalent.
• 5+ years of STATA/SAS/Python development experience (3+ years in industry).
• Knowledge of Data QC (Validity, Consistency, Completeness etc.), Data Cleansing (Syntax Error Detection, Duplicate Removal, Data Auditing) & Data Transformation.
• Knowledge of ETL toolkits, RDBMS, No SQL DBs (desirable but not essential).
• Ability to work with deadlines and manage multiple priorities.

Perks and benefits

Best In the Industry