Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
North Chicago, IL, United States
Live, first seen by us 27 days agoWork setup in the employer’s posting: On-siteFrom the employer’s posting
Employment type in the employer’s posting: Full-timeFrom the employer’s posting
Lead or support cross-functional transformation projects for R&D QA operations
Analyze survey, diagnostic and performance data to find root causes and priorities
Build business cases with financial modeling and scenario analysis
Develop functional KPIs and executive-level dashboards
Monitor initiative progress and risks, and report status to leaders
Lead or support cross-functional transformation projects that improve quality operations, reporting, decision-making and ways of working.
Analyze survey, diagnostic, and performance data to identify trends, opportunities, and root causes
Support business cases through financial modeling, scenario analysis, quantitative benchmarking
Support development and refinement of functional KPIs and executive-level dashboards.
Monitor progress, risks, dependencies, and outcomes for assigned initiatives, and provide concise status updates and recommendations to leaders and stakeholders.
8+ years of progressive experience in data science, analytics, AI/ML, process improvement, transformation, or operational excellence within life sciences or another regulated industry.
Experience supporting or leading cross-functional initiatives in pharmaceutical, medical device, combination products, research, development, clinical operations, manufacturing, or quality environments.
Demonstrated ability to use data, analytics, and structured problem-solving to support process improvement and business decisions.
Understanding of quality systems, compliance expectations, and transformation/change management principles in regulated environments.
Strong communication, collaboration, and stakeholder engagement skills.
Ability to work effectively in a matrixed organization and influence without direct authority.
Qualifications - Bachelors in Data Science, Statistics, Biostatistics, Applied Mathematics, Engineering, Life Sciences, or a related discipline required, advanced degree preferred. Candidates with a Life Sciences degree and an MBA or MS in Analytics are preferred. - 8+ years of progressive experience in data science, analytics, AI/ML, process improvement, transformation, or operational excellence within life sciences or another regulated industry.
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.
In the employer’s words · Read in context
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$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 27
Similar jobs usually come down between day 7 and day 53.
From 7,854 similar postings that came down. Coming down is not always a hire.
85 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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- Strong statistical proficiency, including regression analysis, Statistical Process Control (SPC/SQC), multivariate analysis, predictive modeling, and hypothesis testing. - Proficiency in Python, R, and/or SQL, plus experience with at least one BI/visualization platform (e.g., Power BI, Tableau, or equivalent). Additional Information
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
AbbVie is dedicated to delivering a consistent stream of innovative, safe, and effective medicines and products that solve serious health issues and have a remarkable impact on people's lives. As a quality organization in research development, R&D Quality Assurance is committed to driving quality excellence across all stages of discovery and development for the product's lifecycle to achieve product realization and accelerate access to innovative therapies and products for our patients.
Patient needs, stakeholder demands, industry innovation, the regulatory landscape, and AbbVie's business strategy continue to evolve rapidly. Emphasizing and embedding quality in the execution of clinical trials, post-market vigilance, and post-market studies helps assure patient safety, maintain data integrity, foster regulatory compliance, and contribute to the overall success of drug/device development programs.
The Associate Director, R&D Quality Transformation and Data Science supports the development and execution of transformation initiatives across R&D Quality Assurance, integrating digital capabilities, analytics (including AI/ML), process improvement, and operational best practices. This role helps enable the use of data, insights, and emerging technologies to improve quality processes, strengthen quality culture, and support continuous improvement efforts across the organization.
This position is suited for a collaborative and analytical leader passionate about improving how R&D QA operates through data-driven decision-making, process optimization, and change management. The role partners with leaders across R&D Quality Assurance and cross-functional stakeholders to help translate organizational feedback, diagnostic findings, and business needs into practical improvement initiatives. This role reports directly to the Sr. Director, R&D Quality Transformation & Data Science.
Primary Responsibilities
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
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
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.
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North Chicago, IL, United States
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