Associate Scientist, Data II

ABBVIE; North Chicago (IL); On-site; USD 66,000 - 126,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Paid time off

Job summary

AbbVie in the United States is seeking a data/AI-focused professional to transform document management across regulatory, quality, and scientific teams. You will design and deploy AI-enabled workflows for automated content authoring, summarization, metadata extraction, and compliance reviews, interfacing with data pipelines and enterprise systems.

The role sits at the intersection of data science, software engineering, and business processes, applying LLMs, RAG, and modern AI tools to speed

Qualifications

• Bachelor's degree in Computer Science, Data Science, or related field.
• Experience developing production-grade data, analytics, or AI applications.
• Knowledge of modern AI technologies (LLMs, RAG) and APIs.

Responsibilities

• Partner with regulatory, quality, and scientific teams to identify AI-driven process improvements.
• Design, develop, and deploy AI-enabled content authoring, summarization, and metadata extraction solutions.
• Build data pipelines, integrations, and knowledge management frameworks connecting repositories and AI services.
• Develop ML/AI solutions including LLMs, RAG, and AI agents to improve document lifecycle management.
• Create scalable tools and intuitive interfaces to enable business users to leverage AI capabilities.
• Evaluate emerging technologies and recommend practical, scalable implementations.

Skills

Python

AI/ML

Data pipelines

APIs

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

Azure

GCP

Document management systems

Job description

• Compensation: USD 65,500 - USD 125,500 - yearly

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.

Job Description

Summary

The doc management team is focused on transforming how pharmaceutical content is created, managed, reviewed, and delivered across the organization. This role will help accelerate the adoption of AI, automation, and modern data technologies to improve document authoring, quality control, knowledge management, and operational efficiency.

The successful candidate will work at the intersection of data science, software engineering, and scientific business processes to develop intelligent solutions that streamline document-centric workflows. This includes leveraging large language models (LLMs), machine learning, knowledge management technologies, and system integrations to enable more efficient content creation, review, compliance, and reuse. The role will serve as a key partner in helping teams adapt emerging technologies and integrate them into everyday ways of working.

Responsibilities

• Partner with document management, regulatory, quality, and scientific teams to identify opportunities for AI-driven process improvement and workflow automation.
• Design, develop, and deploy solutions that support automated content authoring, content reuse, document summarization, metadata extraction, quality control, and compliance-related reviews.
• Build and maintain data pipelines, integrations, APIs, and knowledge management frameworks that connect document repositories, enterprise systems, and AI services.
• Develop and apply machine learning and generative AI solutions, including large language models (LLMs), retrieval-augmented generation (RAG), agentic workflows, and other modern AI technologies to improve document lifecycle management.
• Create scalable tools, applications, and user interfaces that enable business users to effectively leverage AI and automation capabilities.
• Evaluate emerging technologies and recommend practical solutions that can be adopted across the organization to increase productivity and operational effectiveness.
• Collaborate with business stakeholders to translate requirements into technical solutions while ensuring alignment with regulatory, quality, security, and governance standards.
• Establish best practices, training materials, and change management approaches that help teams successfully adopt new digital capabilities.
• Communicate technical concepts and project outcomes to both technical and non-technical audiences, driving understanding and adoption across diverse stakeholder groups.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related quantitative field required. Relevant industry experience in pharmaceutical, biotechnology, content management, or AI-enabled digital transformation initiatives are preferred.
• Strong programming skills in Python and experience developing production-grade data, analytics, or AI applications.
• Experience designing data architectures, APIs, database solutions, and cloud-based applications using platforms such as AWS, Azure, or GCP.
• Hands-on experience with modern AI technologies, including large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), vector databases, AI agents, and document intelligence solutions.
• Experience working with enterprise content management systems, document repositories, knowledge management platforms, or workflow automation technologies is highly desirable.
• Strong understanding of software engineering principles, system integration, data governance, and scalable application development.
• Familiarity with pharmaceutical, biotechnology, regulatory, clinical, quality, or scientific documentation processes is preferred.
• Experience developing dashboards, visualization tools, and intuitive user experiences that drive adoption of new technologies

Preferred Candidate Profile

The ideal candidate combines the technical depth of a data scientist or engineer with the practical mindset of a digital transformation leader. They are passionate about applying AI and automation to real business challenges, enabling teams to work more efficiently, and helping organizations embrace new technologies in a sustainable and impactful way.

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 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.