Additionalinformation

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future.

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.

• This job is eligible to participate in our short-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Companydescription

Company Description

About AbbVie

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 including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn,Facebook, Instagram, X and YouTube.

Jobdescription

Job Description

The Manager, Design Intelligence & AI Catalyst will build, deploy, and maintain M&S and AI solutions that automate and augment capabilities within Data & Statistical Sciences (DSS) to support development decision-making. This role sits within the Data and AI Acceleration (DAIA) team and supports the broader DSS organization. Develop solutions for prioritized use cases and build tools that close adoption gaps and meet end-user needs. Identify the right tool for the right problem — varying from R packages, dashboards, to agentic AI frameworks.

Responsibilities

• Develop and maintain solutions for prioritized M&S and AI use cases, from R packages and dashboards to agentic AI frameworks
• Build tools and solutions that address adoption gaps, ensuring delivered capabilities meet end-user needs
• Conduct upfront feasibility assessments and architect solution design — documenting design rationale for when to use deterministic approaches (e.g., R packages), interactive dashboards, or LLM-powered agentic workflows
• Create and maintain comprehensive benchmark test sets to ensure output quality, accuracy, and reproducibility
• Maintain and iterate on deployed tools based on user feedback, bug reports, and evolving requirements
• Translate requirements into production-ready solutions through iterative collaboration with stakeholders

Qualifications

Minimum Qualifications

• Master’s degree with 5-7 years of experience OR PhD in Statistics, Data Sciences, Computer Science, or a related quantitative discipline with 2+
• Strong hands-on development experience in R
• Experience building interactive dashboards and data applications
• Experience with agentic AI development (tool-use agents, orchestration frameworks, retrieval-augmented generation)
• Good statistical knowledge to ensure analytical rigor in delivered solutions
• Familiarity with clinical development processes and trial design concepts
• Software engineering best practices (version control, testing, CI/CD)
• Ability to evaluate trade-offs between solution approaches and calibrate complexity to the problem at hand
• Good communication skills with ability to collaborate iteratively with stakeholders