Senior AI Scientist, Biologics Process Analytics

BioSpace; North Chicago (IL); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Comprehensive benefits

Long-term incentives

Job summary

AbbVie seeks a Senior Data Scientist to embed AI and analytics into its late-stage biologics pipeline, spanning process characterization, tech transfer, and lifecycle optimization. You will architect data solutions, deploy predictive models, and enable fast, safe decision-making across commercial manufacturing sites.

The role emphasizes building scalable data platforms, cross-functional collaboration with manufacturing, quality, regulatory, and science teams, and contributing to

Qualifications

• Bachelor's Degree in Computer Science or a related discipline with 7 years experience in IT and application program development; or Master's Degree with 6 years experience; or PhD with 2 years experience.
• Respective years of hands-on experience building and deploying data science or machine learning solutions in a scientific or engineering-intensive environment.
• Expert-level Python proficiency; deep familiarity with the scientific Python ecosystem (NumPy, pandas, scikit-learn, PyTorch or TensorFlow, modern data engineering)
• Strong foundation in business analytics, with mastery of tools such as R, Dataiku, AWS SageMaker, Spark, Tableau
• Strong foundation in data science methods, statistical modeling, experimental design, multivariate analysis, and uncertainty quantification
• Familiarity with knowledge graph, retrieval-augmented, or orchestrated AI/LLM-based systems applied to scientific or technical domains
• Experience applying data science in a GxP-regulated environment, with working knowledge of FDA/EMA expectations for process validation
• Familiarity with MLOps principles, model lifecycle management, or deployment of analytical tools in regulated or enterprise environments
• Ownership orientation: you define your own problem space, drive solutions to completion, and hold yourself accountable to outcomes

Responsibilities

• Design, build, and deploy predictive and prescriptive models across late-stage biologics programs.
• Develop multivariate and time-series modeling to identify parameter interactions and predict drift.
• Apply advanced statistical and ML methods to characterize bioprocess behavior and establish design spaces.
• Build and maintain golden batch frameworks and optimization models for performance benchmarks.
• Lead data infrastructure and analytical tool development for technology transfer from development to manufacturing.
• Build cross-site process intelligence systems to compare data across sites and equipment trains.
• Partner with manufacturing science and quality teams to define data requirements and standards.
• Define data strategy for late-stage biologics programs including data acquisition and integration.
• Mentor junior scientists and analysts; contribute to a culture of technical excellence and continuous improvement.

Skills

Python

Data science

Machine learning

GxP knowledge

Education

Bachelor's degree in Computer Science or related

Master's degree in related field

PhD in related field

Tools

NumPy

pandas

scikit-learn

PyTorch

TensorFlow

Dataiku

AWS SageMaker

Spark

Tableau

Job description

AbbVie seeks a Senior Data Scientist to embed AI and analytics into its late-stage biologics pipeline, spanning process characterization, tech transfer, and lifecycle optimization. You will architect data solutions, deploy predictive models, and enable fast, safe decision-making across commercial manufacturing sites.

The role emphasizes building scalable data platforms, cross-functional collaboration with manufacturing, quality, regulatory, and science teams, and contributing to