Senior Clinical Data Scientist, RBQM Analytics

AbbVie

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: Chicago, IL
Salary: $124,184–$183,500 / yr
Posted: 17 days ago
Freshness: Confirmed live yesterday
Closes: Sep 17, 2126
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $156k

This role $154k

$99k most similar roles pay here $217k

This role pays less than 61% of similar roles. Most pay $126,800–$184,900 — the shaded band above. At the midpoint, this role pays about $154k versus about $156k 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 252 open roles on FindRole.

Listed pay typically runs $109,500–$208,500 across 232 roles with salary data.

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At a glance

TL;DR · Senior Clinical Data Scientist, RBQM Analytics

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The Sr. Clinical Data Scientist (RBQM Analytics) joins the team to lead the design and implementation of machine learning models for clinical insights. This role involves using statistical methods to develop prototypes and algorithms while leveraging emerging statistical methodologies, machine learning, and artificial intelligence to drive innovative analytical solutions. The individual will collaborate with cross-functional teams to experiment with techniques that solve business problems, identify needs, and support the creation of standard KPIs, reports, and statistical analyses. Essential technical skills include programming in R and Python for data analysis, building dashboards using Spotfire, Tableau, or MS Power BI, and constructing statistical models to support clinical trials analytics. The role requires interpreting clinical protocols for analysis design while ensuring strict adherence to federal regulations, Good Clinical Practices, ICH Guidelines, and established company Standard Operating Procedures.

Skills

Machine Learning Python R Statistics Data Visualization Spotfire Tableau AI Bioinformatics ICH Guidelines

What you'll do

Lead the design and implementation of Machine Learning models for clinical insights.
Use statistical methods to develop prototypes and algorithms for data analysis.
Leverage ML, AI, and emerging statistical methodologies to create innovative analytical solutions.
Recommend advanced techniques to solve complex business problems with cross-functional teams.
Ensure all activities comply with federal regulations, GCPs, ICH Guidelines, and company SOPs.
Identify business needs to support the creation of standard KPIs, reports, and statistical analyses.
Build dashboards for data visualization using tools like Spotfire, Tableau, or MS Power BI.
Develop statistical models to support clinical trial analytics and identify data-driven insights.

What we're looking for

Bachelor’s degree in bioinformatics, data science, or statistics.
2 years of progressive work experience in a data science role.
2 years of experience programming using R and Python to support data analysis.
2 years of experience building dashboards for data visualization using tools such as Spotfire, Tableau, and MS Power BI.
2 years of experience building statistical models to support clinical trials analytics and identify data-driven insights.
Ability to read and understand clinical protocols for analysis design.

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