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.
Job DescriptionThe Associate Scientist, Data I supports the design, development, and deployment of data and analytics solutions that enable digital transformation across AbbVie Operations. This role works at the intersection of data science, data engineering, and manufacturing technology to help deliver scalable data products, AI solutions, and operational insights that drive efficiency, quality, and innovation. The position collaborates with business stakeholders, engineers, scientists, and technology teams to integrate data from diverse sources, develop analytics workflows, and support emerging technology initiatives across manufacturing, supply chain, laboratories, and engineering functions.
Responsibilities:
- Develop and maintain data pipelines, integrations, and data products that support operational use cases.
- Collect, transform, and analyze data from manufacturing, laboratory, and enterprise systems.
- Support the development and deployment of AI, machine learning, and advanced analytics solutions.
- Collaborate with subject matter experts to define data requirements and translate business needs into technical solutions.
- Contribute to data quality, governance, and standardization efforts to ensure trusted and accessible data.
- Build dashboards, visualizations, and analytical tools that enable data-driven decision making.
- Participate in proof-of-concept, pilot, and innovation projects within the Emerging Technologies portfolio.
- Document technical solutions and follow established engineering and data management best practices.
Required:
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, Information Systems, or a related field.
- Understanding of data engineering concepts, including ETL/ELT, data modeling, and cloud-based data platforms.
- Strong problem-solving, communication, and collaboration skills.
- Interest in applying data and digital technologies to improve manufacturing, laboratory, and operational performance.
- Must be curious, collaborative, and passionate about leveraging data to solve complex operational challenges.
- Must be comfortable working in cross-functional teams and eager to learn emerging technologies that accelerate innovation across AbbVie Operations.
Preferred:
- Experience with Python, SQL, and data analytics tools.
- Familiarity with machine learning modelling, AI, or data visualization tools is preferred.
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 role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors 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
Skills Required
- Bachelor's or Master's degree in Data Science, Computer Science, Engineering, Statistics, Information Systems, or a related field
- Understanding of data engineering concepts, including ETL/ELT, data modeling, and cloud-based data platforms
- Strong problem-solving, communication, and collaboration skills
- Interest in applying data and digital technologies to improve manufacturing, laboratory, and operational performance
- Curiosity, collaboration, and passion for leveraging data to solve complex operational challenges
- Comfort working in cross-functional teams and willingness to learn emerging technologies
- Experience with Python, SQL, and data analytics tools
- Familiarity with machine learning modeling, AI, or data visualization tools
AbbVie Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about AbbVie and has not been reviewed or approved by AbbVie.
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Retirement Support — Retirement programs are portrayed as a standout, with a dollar‑for‑dollar 401(k) match up to 6% and an additional annual company contribution based on age and service. Feedback suggests this materially boosts perceived total compensation for many U.S. employees.
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Parental & Family Support — Paid parental and caregiver leave are emphasized, including up to 12 weeks of fully paid parental leave for all parents and 4 weeks of paid caregiver leave in the U.S. Feedback suggests these policies are a meaningful differentiator for employees balancing family needs.
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Leave & Time Off Breadth — Time off is described as extensive, with tiered vacation that scales with tenure, 17 company holidays, and two paid volunteer days in the U.S. Feedback suggests the breadth of leave contributes notably to overall benefits satisfaction.
AbbVie Insights
What We Do
AbbVie is a global biopharmaceutical company focused on creating medicines and solutions that put impact first — for patients, communities, and our world. We aim to address complex health issues and enhance people's lives through our core therapeutic areas: immunology, oncology, neuroscience, eye care, aesthetics and other areas of unmet need.
