Data Manager II (REMOTE)

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

AbbVie Data Science is the best-in-class team within its cross-industry peer group and is responsible for bringing people, process, and technology together to generate business value from clinical trials data. Our operational model is exemplified through execution and innovation. This role is key to ensuring successful delivery against the program- and study-level accountabilities assigned to Data and Statistical Sciences.

Responsibilities

• Uses understanding of clinical trial concepts and cross-functional protocol requirements to execute assigned study assignments
• Engages with members of the DSS and cross-functional study teams in order to effectively execute assigned activities
• Effectively utilizes available technology to execute assigned activities
• Develops and utilizes data standards (e.g., CDASH and SDTM), and protocol requirements in the design and development of key system interfaces and end-to-end data flow
• Creates study execution documentation including specifications, data management plan, and integrated data review plan. Executes data management plan and integrated data review plan as required by protocol and team decisions
• Triages issues as they occur and maintains required documentation per ALCOA principles. Performs data review using supplied data review tools. Performs reconciliation of data originating from different sources. Queries clinical sites as necessary to clarify possible data abnormalities
• If assigned, may lead process improvement efforts within Data and Statistical Sciences. May be assigned indirect reports during the execution of projects
• Utilizes operational data and analytical tools to optimize execution of assigned clinical trials