Data Scientist, Risk Based Quality Management Analytics

AbbVie

Confirmed live today High trust

Quick summary

Work type
On-site
Location
North Chicago, IL
Salary
$96,500–$183,500 / yr
Posted
7 days ago
Freshness
Confirmed live today
Closes
Oct 20, 2126

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $178k
This role $140k
$82k $230k
below market most similar roles pay here above market

This role pays less than 76% of similar roles. Most pay $142,275–$214,000 — the blue band above. At the midpoint, this role pays about $140k versus about $178k 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 145 open roles on FindRole.

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

Most-posted roles

View all roles at AbbVie

At a glance

TL;DR · Data Scientist, Risk Based Quality Management Analytics

The Data Scientist, Risk Based Quality Management Analytics joins a team of Data Scientists and Data Engineers to leverage data assets for clinical development decision making. This role involves driving analytics innovation and experimentation to provide data-driven insights for complex business problems across R&D. Key responsibilities include developing fit-for-purpose analytics solutions, identifying business needs to create standard KPIs and reports, and ensuring adherence to federal regulations, Good Clinical Practices, and ICH Guidelines. The successful candidate will utilize R, Python, and SQL, along with statistical and data mining techniques. Proficiency in visualization tools like Spotfire, Tableau, or Microstrategy is required. The role focuses on applying advanced analytics and Machine Learning to solve technical problems within the clinical development continuum while maintaining consistent analytical work products.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

See salary data

What you'll do

  • Develop fit-for-purpose analytics solutions for assigned projects using advanced analytics techniques.
  • Deploy Machine Learning and Visual Analytics to provide data-driven insights for complex R&D business problems.
  • Apply proven statistical methodologies and experiment with new techniques to solve specific business problems.
  • Create standard KPIs, reports, and statistical analyses to support identified business needs.
  • Ensure all analytical work products follow established design principles, standards, and user experience optimizations.
  • Maintain compliance with federal regulations, Good Clinical Practices (GCPs), ICH Guidelines, and internal SOPs.
  • Participate in functional innovation and process improvement initiatives as assigned.

What we're looking for

  • Bachelor’s degree in statistics, analytics, bioinformatics, data science, or an equivalent field.
  • Master’s degree (preferred).
  • 2-3 years of experience in data science and analytics.
  • Full or career proficiency in R, Python, SQL, or other statistical packages.
  • Intermediate knowledge of statistical and data mining techniques.
  • Intermediate proficiency with visualization tools like Spotfire, Tableau, Microstrategy, or equivalent.
  • Experience with Machine Learning and other advanced analytics techniques (preferred).
  • Demonstrated ability to communicate analytical and technical concepts to a non-technical audience.

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