Senior Data Scientist, Healthcare Analytics & ML Impact

AbbVie Inc.; Chicago (IL); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive base pay

Medical/Dental/Vision insurance

401(k) with company match

Job summary

AbbVie in Chicago is seeking a Data Scientist to drive data-driven decisions within the Operations Quality Data Analytics group. You will build predictive and prescriptive models using statistical and machine-learning methods while ensuring end-to-end delivery of analytics projects.

Collaborate with data engineers, IT, and business partners to deliver reproducible insights, mentor teammates, and ensure compliance with GMP/ICH guidelines.

Qualifications

• Bachelor’s degree in a quantitative field; Master’s degree preferred.
• 6+ years of analytics, manufacturing data analytics or statistical modeling in a cGMP related industry.
• Knowledge of global regulatory requirements for pharmaceutical, medical devices, and combination products; FDA Quality Systems knowledge preferred.
• Ability to execute analytical investigations and output reproducible insights.
• Proficient in SQL and at least one statistical package (R/SAS); familiarity with Python and BI tools.

Responsibilities

• Develop predictive/prescriptive models using statistical and ML methods.
• Lead end-to-end data science applications, studies, and POCs with project teams.
• Mentor and coach junior team members across analytics groups.
• Communicate findings to stakeholders with clear visualizations and documentation.
• Ensure data integrity and regulatory compliance across GMP/ICH guidelines.

Skills

Statistical modeling

Machine learning

Python

R

SQL

Data visualization

Leadership

Education

Bachelor's degree in a quantitative field

Master's degree preferred

Tools

SAS

Tableau

Teradata

Job description

AbbVie in Chicago is seeking a Data Scientist to drive data-driven decisions within the Operations Quality Data Analytics group. You will build predictive and prescriptive models using statistical and machine-learning methods while ensuring end-to-end delivery of analytics projects.

Collaborate with data engineers, IT, and business partners to deliver reproducible insights, mentor teammates, and ensure compliance with GMP/ICH guidelines.