Senior Analyst, Medical Analytics

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 Digital Lab organization is looking for a strong analytical candidate to join a high-performing team supporting Digital Medical Team for multiple therapeutic areas.  In this role, you’ll be responsible for delivering analysis, insights, and recommendations to Medical and Scientific leaders to drive increased performance and efficiency of targeted advertising touch points and new digital initiatives.  You’ll use your knowledge of digital and non-digital channels and relevant data to identify trends in standard of care and build a narrative around appropriate strategic and tactical adjustments.  We are looking for a highly motivated, self-driven individual that is never satisfied with the status quo and is eager to let their curiosity and can-do attitude expand the limits of bio-pharmaceutical medical affairs delivery.  You will be expected to partner with Medical Affairs, Omni Channel Strategy, and Therapeutic Area Leadership to align Medical objectives and key priorities while supporting the current and future portfolio.  Should be able to work with multiple teams to identify and extract data from multiple sources to suit new needs and business owners. A successful candidate must be able to meaningfully communicate insights and information to a broad group of stakeholders through exceptional oral and written communication.  

Primary Responsibilities: 

• Translate medical objectives into analysis design and supports opportunity assessment through use and understanding of multiple data assets. 
• Generation of insights through connection of multiple data sources and timely translation to actionable strategies to the relevant medical stakeholders
• Drive adoption of experimenta