Scientific Technical Lead, Late Stage CMC

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 (cloud, big data, pipeline orchestration)

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 — with the ability to choose, justify, and communicate methodological choices rigorously

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, continued process verification (CPV), and control strategy.

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 long-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.

While the AI innovation race in Biopharma is focused on Drug discovery, Product Development/ CMC represents the next barrier/ bottleneck.

The complexity of biological systems, the rigor of regulatory expectations, the pace of pipeline growth, and the enormous value at stake make this one of the highest-leverage domains for applied data science and AI in the entire pharmaceutical value chain.

We here at BTS - PDST, are building a dedicated, AI-native team that is driving cutting edge programs across early stage, late stage and commercial product development to accelerate E2E product development and launch, maximize yields of block buster products.

Through our deep collaboration with PDST scientists we are boldly reimagining how AbbVie can bring our pipeline products and lifesaving drugs to patients faster, safer and in cost effective manner fueled by AI.

Late-Stage Biologics Data Scientist is a senior individual contributor role built for a scientist-engineer who thinks in systems, builds with purpose, and leads through technical credibility.

This role is a shaper of outcomes.

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

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