Responsibilities Include
- Lead data reconciliation of electronic data transfers from vendor to Sponsor.
- Assist communication with database (DB) vendors on consistent basis to address Clinical teams requests and/or eCRF development activities.
- Provide Clinical Data Management support to the Clinical team and other cross functional departments as needed.
- Develop CRF, electronic and/or paper. Design traditional paper CRFs in print layout format to provide ongoing support of eCRFs used in Clinical Research studies.
- Participate in the review of Clinical research documents (eg. Protocols, Case Report Forms).
- Develop clinical trial data specifications, including CRF completion guidelines, user requirements, edit rules/checks, query logic and data validations.
- Participate in UAT of eCRF build and validation documents, included but not limited to: edit check document, issue logs, UAT summary report.
- TLF Development for DSMB/IDMC and endpoint adjudication committees
- Participate in the preparation and presentation of data, when applicable.
- Ensure data compliance by following the established guidelines of national and international regulatory authorities.
- Assist in the review of routine/interim/final data listings prior to transmission to other groups or inclusion in regulatory submissions.
- Assist in the gathering of design requirements from stakeholders and organize in a standard format to address the needs of users (e.g., investigator, study coordinator, study monitor) and simplifies data collection and analysis.
- Provide input and support on data and submission standards to project teams to ensure high quality and timely eSub deliverables that meet industry standards and regulatory requirements; particularly with regard to SDTMIG assumptions and mapping strategies, statistical programming conventions, and CTD-CRT preparation (Define.xml development, CRF annotation, FDA submission expectations, use of Pinnacle 21, and SDTM compliance rule violation resolution).
- Support the identification, review, evaluation, and implementation of new technologies related to clinical data standards.
- Participate in data standards process improvement working groups.