Senior Data Programmer

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.

Qualifications

· 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.