Modeling and Simulation Project Embedment Lead

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 atwww.abbvie.com. Follow @abbvie onLinkedIn,Facebook,Instagram,XandYouTube.

Embed M&S and AI capabilities into day-to-day trial design and development workflows across Data & Statistical Sciences (DSS), to accelerate and support development decision-making. This role sits within the Data and AI Acceleration (DAIA) team and supports the broader DSS organization. Work alongside statisticians and data scientists within each Therapeutic Area, deeply understanding current trial design workflows to identify opportunities where M&S and AI can eliminate friction, enable smarter decision-making, and unlock new opportunities by leveraging new tools and data modalities. This role will drive the embedment of M&S and AI capabilities across the DSS organization.

Responsibilities

• Map current workflows and identify M&S and AI automation and augmentation opportunities
• Oversee embedment and adoption of M&S and AI tools across the Therapeutic Areas
• Work closely with solution developers to translate business problems into actionable requirements and ensure delivered tools meet end-user needs
• Reimagine and define fit-for-purpose ways of working, processes, and templates in collaboration with cross-functional partners that evolve with M&S and AI adoption
• Train, onboard, and enable end-users on new M&S and AI tools to drive adoption and effective use
• Monitor adoption metrics and identify barriers; iterate on processes to reduce friction and feed insights back to inform prioritization of new use cases

• Master’s degree with 8–10 years of experience or PhD with 5–8 years of experience in Statistics, Data Sciences, or a related quantitative discipline
• Strong experience working in clinical trial design as a statistician or data scientist
• Applied understanding of how M&S and AI can augment clinical trial workflows, with an eye for high-impact use cases
• Ability to bridge business and technical teams translating end-user needs into developer-ready requirements
• Experience in change management or process improvement within drug development
• Strong communication, facilitation, and stakeholder engagement skills
• Ability to design pragmatic, fit-for-purpose governance frameworks

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

• The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at the timeof thisposting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location,andwemayultimatelypaymore or less than the posted range. This range may bemodifiedin thefuture.

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

• This job is eligible toparticipatein our long-term incentiveprograms.

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of any bonus,commission,incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employeeremainsin the Company's sole andabsolutediscretion unless anduntil paid andmay bemodifiedat the Company’s sole and absolute discretion, consistent withapplicable 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.

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