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Description:
The Senior Data Scientist at Interapt will provide analytical and advisory services to a premier partner, focusing on extraction-transformation-load processes, data management, space management, and data quality.
Responsibilities include executing refresh of Common Data Models (CDMs), reviewing quality control, fixing quality problems, and documentation.
The role involves working with SAS to transform data into CDMs and execute distributed queries.
Tasks also include quality control on Distributed modular programs, reviewing results, and documentation, as well as creation and transformation of monthly refresh of files.
Space management monitoring is also part of the job responsibilities.
Requirements:
5+ years of experience with SAS programming.
5+ years’ experience with healthcare claims data analysis.
3+ years’ experience in health care data management and analytics.
3+ years’ experience with extract-transform-load data files.
Experience working with and integrating large datasets from multiple sources.
Experience in preparation and data management plan/documentation.
Knowledge of FDA Sentinel Initiative (BEST, Sentinel, and/or NESTcc program).
Experience with Observational Medical Outcomes Partnership (OMOP), FDA Sentinel Common Data Model (CDM), and/or Patient-Centered Outcomes Research Institute (PCORI) CDM.
Benefits:
Private Health Insurance is provided.
Paid Time Off is offered.
Work From Home option is available.
Training & Development opportunities are provided.