
Senior Data Programmer
2 weeks ago
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
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