Principal Data Scientist, Data and AI Convergence

AbbVie

Quick summary

Work type
On-site
Location
North Chicago, IL
Posted
11 days ago
Closes
Jun 16, 2126
Nearby
99+ roles within 25 mi

Market check

Salary context

How this pay compares to similar roles

Similar $168k
$107k most similar roles pay here $238k

This listing doesn't post a salary. Most similar roles pay $126,800–$208,668.

Based on 240 similar postings.

Employer

About AbbVie

AbbVie is a global biopharmaceutical company focused on discovering and delivering innovative medicines and solutions in immunology, oncology, neuroscience, and eye care. Its products include Humira, Skyrizi, and Rinvoq.

AbbVie currently has 36 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 5 roles with salary data.

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At a glance

TL;DR · Principal Data Scientist, Data and AI Convergence

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The Principal Data Scientist role at AbbVie is a senior-level position within the R&D Convergence Core team, focusing on enterprise-wide transformation through advanced AI/ML integration. This individual will lead cross-functional teams to identify gaps in data convergence and workflow integration, designing scalable solutions that enhance strategic decision-making across the R&D pipeline and clinical development. Key responsibilities include architecting production-grade AI/ML workflows, driving organizational change, and establishing best practices for enterprise-wide adoption of AI technologies. The ideal candidate has expertise in machine learning frameworks like TensorFlow and PyTorch, proficiency in Python and R, and experience with cloud computing platforms. This role requires a deep understanding of pharmaceutical R&D processes and regulatory requirements to ensure compliance while fostering innovation at AbbVie.

Skills

Python R TensorFlow PyTorch Scikit-learn Hugging Face Airflow Kubeflow MLflow AWS Azure MLOps CI/CD Docker PostgreSQL Data Governance CDISC OMOP FAIR Data Frameworks

What you'll do

  • Lead identification of gaps in data convergence and AI/ML integration across R&D workflows.
  • Design comprehensive strategies to address systemic challenges through scalable solutions.
  • Architect frameworks for systematic integration of advanced AI/ML into existing R&D workflows.
  • Drive organizational transformation initiatives to enhance strategic decision-making with data and AI.
  • Oversee development of production-grade AI/ML workflow orchestrations integrating multiple data sources.

What we're looking for

  • PhD in quantitative field or equivalent experience required.
  • 4+ years of leading large-scale AI/ML projects in enterprise settings.
  • Expertise in advanced machine learning techniques and frameworks.
  • Strong programming skills in Python and R for production code development.
  • Experience with cloud computing platforms and distributed data processing.
  • Proven ability to influence senior leadership and drive organizational change.
  • Domain knowledge in pharmaceutical R&D or healthcare analytics preferred.

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