Principal Laboratory Data Manager

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

Leverage advanced data analysis skills to create innovative approaches to prepare complex data analyses and models that help solve business problems and deliver significant measurable impact. Act as an analytics expert and liaise with cross-functional stakeholders in clinical development to discuss complex data related requirements and opportunities to leverage advanced analytics techniques to drive business value.

Responsibilities

• Drives the execution of all DSS processes and systems related to the analysis and utilization of data
• Performs analysis tasks in support of clinical trial integrity
• Actively collaborates with DSS stakeholders to provide objective evidence in support of clinical analyses. Ensures consistency across deliverables within and across therapeutic areas and business partners
• Identifies opportunities for process improvement and value creation by using objective data-based evidence
• Identifies opportunities for leveraging advanced analytics techniques and methods to drive business value.
• Develop solutions that bring critical insights to wide scale of different problems
• Develop, prototype and test methods and algorithms on data sets, both small and large. Leverage emerging statistical methodologies to drive innovation in the clinical trial data realm.
• Keep abreast of new and current including technologies and methodologies that can support the utilization of clinical data and DSS operational data to produce efficiencies and create new value propositions.
• Train other team members to support the use of data analytics tools in support of leveraging clinical data and DSS operational data
• Lead a cross-functional data review team in s