Associate Scientist, Data I Full-time NEW

Associate Scientist, Data I

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.

The 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.

Qualifications:

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.

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.

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

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Pay Range: $58656 – 103500 USD

Role is primarily site- or office-based but can occasionally be performed remotely. Employees who are site/office-based and can occasionally perform their role virtually work both in the office and remotely*, following the policies and regulations in place at their location. US Employees must be in the office on Tuesday, Wednesday, and Thursday with flexibility to work remotely on Mondays and Fridays. Three days in the office is the minimum; some individuals or teams may require more in-office days due to meetings, business/project needs or their role.