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.