Principal Research Data Scientist

AbbVie

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
North Chicago, IL
Salary
$124,500–$236,500 / yr
Posted
43 days ago
Freshness
Confirmed live 2 days ago
Closes
Jul 30, 2126

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k
This role $180k
$100k most similar roles pay here $251k

This role pays more than 66% of similar roles. Most pay $136,187–$202,352 — the shaded band above. At the midpoint, this role pays about $180k versus about $169k for comparable roles.

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 297 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 271 roles with salary data.

Most-posted roles

View all roles at AbbVie

At a glance

TL;DR · Principal Research Data Scientist

The Principal Research Data Scientist joins the Information Research team to design, architect, and develop AI data solutions that advance the organization's machine learning ecosystem. Working alongside data engineers, architects, and business analysts, you will build scalable, AI-ready data solutions for diverse datasets to support the pharmaceutical R&D value chain. Key responsibilities include integrating LLMs like GPT or Claude for knowledge extraction, creating expressive data models for graph analytics and semantic reasoning, and managing the lifecycle of machine learning models. You will utilize Neo4j, Elastic Search, and vector stores while performing text mining on unstructured data. The role focuses on solving complex problems in pharmaceutical research by implementing Graph RAG systems, agent-based solutions, and automated data-driven insights to translate technical results into actionable business visualizations for non-technical stakeholders.

What you'll do

  • Design and maintain scalable AI-ready data solutions for diverse pharmaceutical R&D datasets.
  • Integrate LLMs like GPT or Claude for data mining, knowledge extraction, and automated insights.
  • Translate user requirements into expressive data models for graph analytics and GenAI integration.
  • Research and recommend tools for graph databases, vector stores, and agent-based solutions.
  • Architect the deployment, monitoring, and lifecycle management of machine learning models.
  • Serve as a subject matter expert on the feasibility of emerging technologies in the AI space.
  • Create visualizations and dashboards to translate complex technical results into business insights for executives.

What we're looking for

  • Bachelor's Degree with 8 years’ experience, Master's Degree with 7 years’ experience, or PhD with 3 years’ experience.
  • Experience with Neo4j and Elastic Search database technologies.
  • Experience supporting AI/ML initiatives including LLM integration, Data Agents, Agentic Memory, and Graph RAG systems.
  • Experience with text mining and unstructured data processing.
  • Experience with pharmaceutical R&D industry-centric datasets.
  • Background in life sciences or work experience in the pharmaceutical industry (preferred).
  • Master’s degree (preferred).

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