Associate Data Scientist I

AbbVie

Confirmed live today High trust

Quick summary

Work type: On-site
Location: North Chicago, IL
Posted: 14 days ago
Freshness: Confirmed live today
Closes: Oct 12, 2126
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $159k

$101k $218k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,800–$192,162.

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 145 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 140 roles with salary data.

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At a glance

TL;DR · Associate Data Scientist I

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The Associate Data Scientist I joins the Global Research, Informatics & Platform Solutions team within the Information Research Division. This role supports multiple areas within Research & Discovery by building visualizations, transforming data, and capturing data to optimize research and development efficiency. The successful candidate will work directly with discovery scientists and technology stakeholders to gather requirements, document data flows, and design technology solutions that integrate and analyze complex multi-platform data, including omics, biomarkers, and preclinical safety. Key technical requirements include high proficiency in Python, SQL, and data visualization and pipelining tools like Spotfire. Candidates must also possess familiarity with CI/CD tools, software development processes, and modern data science and AI techniques while maintaining a background in life sciences or biology.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

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Skills

Python SQL Spotfire CI/CD Data Visualization Data Science AI

What you'll do

Gather requirements by communicating with discovery teams to understand existing workflows and data flows.
Design and implement technology solutions to integrate, visualize, and analyze complex multi-platform data.
Support discovery scientists directly with their specific dashboarding and technical needs.
Use Python and SQL for data storage, transfer, integration, visualization, and analytics.
Document data flows and capture general requirements for research and discovery projects.
Integrate diverse datasets including omics, biomarkers, and preclinical safety data.
Present and document technical solutions to non-technical stakeholders.

What we're looking for

Background in life sciences, biology, or equivalent.
High proficiency in Python, SQL, and other technologies for data storage, transfer, integration, visualization, and analytics.
Strong familiarity with data visualization and pipelining tools such as Spotfire or equivalent.
Understanding of software development process and familiarity with CI/CD tools.
Excellent interpersonal, verbal, and written communication skills for cross-functional collaboration and training.
Familiarity with modern data science and AI techniques (preferred).
Ability to work independently, multitask, and work within timelines.
Bachelor’s Degree.

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