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Senior Data Scientist-AI Solutions
AbbVieNorth Chicago, United Statesfull_timeVerifiedPosted 16 Jan 2026
About the role
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
- Connects with cross-functional teams to design work product and as an analytics consultant. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions
- Leads and helps establish the design principles and standards to ensure analytical work product is consistent across projects where appropriate and that user experience is optimized
- In addition to standard statistical methods, develops prototypes, test methods and algorithms. Leverages emerging statistical methodologies, ML and AI to drive innovative analytical solutions to create insights
- Enables data-driven insights to support of clinical development continuum, including precision medicine
- Ensures adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development
- Identify business needs and support the creation of standard KPIs, reports, and statistical analyses;
- Responsible for coaching and mentoring junior team members.
- Work side by side with cross-functional teams as an analytics consultant to strategize on how analytics can help evaluate the progress of clinical trials, as well as facilitate discussions around emerging risks; Applies machine learning techniques to validate assumptions and predict future behavior
Qualifications
- Bachelor’s degree statistics, analytics, bioinformatics, data science or equivalent field. Master’s degree preferred
- Must have 3-5 years of analytics-related experience in clin
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