Senior Manager, Medical Monitoring Analytics (Non-Oncology)

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

Data Science and Analytics is an ambitious team of Data Scientists and Data Engineers with a unique blend of Business, Scientific, Machine Learning and AI expertise that seeks to unleash the full potential of AbbVie’s data assets by bringing technology and/or data and insights to the forefront of decision making via fit-for-purpose solutions.

The Sr. Manager, Medical Monitoring Analytics is a data science project leadership role and is responsible for helping cross-functional partners identify and prioritize sophisticated analytics solutions to create value and impact for clinical trial medical monitoring. Drives Analytics innovation and experimentation to enable data-driven insights for complex business problems. Ensures consistency in analysis techniques and delivery.  Accountable for gathering cross-functional input into the development of Advanced Analytics capabilities and ensures follow-through via robust project management and stakeholder engagement. This position will not have people management responsibilities.

Roles and Responsibilities:

• Support the implementation of next generation technology and process to enable enterprise data analytics on pace with emerging integrated data sources (biomarker/translational, big data, digital sources, real world data, pharmacovigilance data, clinical trial data)
• Responsible for coaching and mentoring junior team members. May include indirect supervision of employee and contract staff
• Drive the definition, design, implementation and validation of cutting-edge algorithms to analyze disparate data sources to achieve targeted outcomes by leveraging advanced analytics, machine-learning and/or Artificial Intelligence approaches,