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: 38 days ago
Freshness: Confirmed live yesterday
Closes: Aug 3, 2126
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $159k

This role $96k

$49k most similar roles pay here $221k

This role pays less than 94% of similar roles. Most pay $126,800–$191,250 — the shaded band above. At the midpoint, this role pays about $96k versus about $159k 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.

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View all roles at AbbVie

At a glance

TL;DR · Associate Scientist, Data II

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Associate Scientist, Data II joins the Information Research team as a core member of a high-performance group of data engineers and architects. This role focuses on the architecture, design, development, and maintenance of large-scale data and analytics platforms, including system integrations, data pipelines, data models, and API integrations. The individual will perform essential data engineering activities such as master data management, data cataloging, streaming, visualization, and analysis while producing technical documentation. To succeed, the candidate must possess experience in the software development lifecycle and proficiency with programming languages like SQL, Python, Apache Spark, SAS, and R. Technical expertise is required in cloud platforms, Knowledge graphs, Elastic search, and LLM models. The role specifically addresses the challenge of managing pharmaceutical R&D and Life Science centric datasets to support evolving business strategies.

Skills

SQL Python Apache Spark SAS R Cloud Platforms LLM Elastic search Data Warehousing data streaming Graph Databases MLOps data visualization API Integration Master Data Management

What you'll do

Contribute to the architecture, design, and development of large-scale data and analytics platforms.
Develop and maintain data pipelines, system integrations, and API integrations to support business strategy.
Perform data engineering activities including warehousing, master data management, cataloging, and streaming.
Execute data analysis and visualization tasks using tools like SQL, Python, Spark, SAS, or R.
Create and maintain technical documentation for all work products.
Manage and maintain data models to support evolving research and development needs.
Ensure all projects comply with GxP standards, data security policies, and the software development lifecycle.

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 is required.
Experience with data analysis programming languages such as SQL, Python & Apache Spark, SAS, and R is required.
Knowledge and practical experience in cloud platforms, Knowledge graph, Elastic search, data streaming, and LLM models are required.
Experience working with Pharmaceutical R&D industry-centric datasets is preferred.
Experience working with Cloud platforms, MPP engines, Graph databases, and search is preferred.