Responsibilities:
- Create data cleaning reporting solutions with appropriate oversight that support the quality and timely delivery of data cleaning, study status metric, and monitoring reports and visualizations required per standard and study specific data review plans.
- Create any documentation needed for reports throughout the lifespan of the study and/or asset for all deliverables
- Develop library of reusable checks working closely with data engineers and config specialists.
- Collaborate with cross functional teams in creating business rules and automated check library across TAU.
- Serves as a technical resource for creating data analytics to help with data validation and cleaning
- Supports knowledge development of others on reporting tools that support the accuracy and integrity of study data
- Provide programming expertise for data cleaning to efficiently ensure high quality data
- Enhances available reporting tools/macros/libraries or creates new ones to support the review of clinical trial data and trial status information for cross-functional use and provides input on data management reporting standards as required
- Ensure accurate delivery by creating macros for Standard listings for the department based on specifications.
- Creates and tests listings for data review.
- Develop programs that generate CRF and Query metrics, including ad-hoc Sponsor and internal programming requests.
- Ensures operational excellence in collaboration with partners and colleagues for application of standards and develop data cleaning reports in support of the data review plan, in collaboration with the Clinical Data Management and medical reviewers
- Directly supports knowledge development of others on data reporting and reporting tools that support the accuracy and integrity of study data
- Identifies existing process/product improvements
- Develops cutting-edge, adv