Associate Scientist, Data II

AbbVie

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Chicago, IL
Salary
$65,500–$125,500 / yr
Posted
24 days ago
Freshness
Confirmed live yesterday
Closes
Aug 18, 2126

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $160k
This role $96k
$48k most similar roles pay here $224k

This role pays less than 94% of similar roles. Most pay $126,800–$192,587 — the shaded band above. At the midpoint, this role pays about $96k versus about $160k 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 · Associate Scientist, Data II

Associate Scientist, Data II joins the Information Research team to design, build, and maintain semantic data infrastructure that connects information across various domains. The role involves translating complex source data into well-modeled, interlinked graph structures while developing ingestion pipelines from relational, document, and file-based sources. Key responsibilities include performing graph data modeling, writing and optimizing Cypher queries for entity resolution and retrieval, and ensuring data quality through automated tests and validation rules. Candidates should possess experience with the software development life cycle, including Git and CI/CD workflows. Required technical skills include proficiency in at least one graph database like Neo4j or Amazon Neptune, along with programming languages such as SQL, Python, Apache Spark, SAS, or R. The work focuses on creating a reliable knowledge graph to serve as a queryable source of truth for data and analytics solutions.

What you'll do

  • Design and refine labeled-property or RDF graph models to represent entities and connections across source systems.
  • Build and maintain ingestion pipelines to extract, transform, and load data from various sources into the graph.
  • Write and optimize Cypher queries for data loading, validation, entity resolution, and downstream retrieval.
  • Implement constraints, validation rules, and automated tests to ensure graph consistency and trustworthiness.
  • Monitor graph performance and tune indexes and queries across development, validation, and production environments.
  • Document data models, lineage, and design decisions for both technical and non-technical audiences.

What we're looking for

  • A Bachelor's degree with 2 years of experience or a Master's degree is required.
  • Experience with the software development life cycle, including Git, testing, and basic CI/CD workflows is required.
  • Experience with at least one graph database and its corresponding query language (Cypher or SPARQL) is required.
  • Experience with data analysis programming languages such as SQL, Python, Apache Spark, SAS, or R is required.
  • Experience with entity resolution, record linkage, knowledge graph construction, vector databases, and RAG patterns is preferred.

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