Data Scientist — Trial Surveillance & AI Analytics

AbbVie Inc.; North Chicago (IL); On-site; USD 100,000 - 140,000; Full time

Job summary

AbbVie is seeking a Data Scientist for Trial Surveillance & Analytics (TSA) within Data & AI Acceleration. You will design, develop, and scale AI-powered analytics solutions to monitor clinical trials, assess safety, and provide actionable insights.

Candidates should have 2–5 years of experience in data science and proficiency in R or Python. The role emphasizes transforming complex data into clear visualizations and reliable decision-support tools for clinical and safety teams, with an

Qualifications

• Bachelor’s degree in statistics, analytics, bioinformatics, data science or equivalent.
• 2-5 years of experience in data science, analytics, statistical programming, data engineering, or related disciplines.
• Proficiency in R and Python; strong data visualization skills.

Responsibilities

• Partner with cross-functional stakeholders to understand surveillance, analytics, and reporting needs and translate them into scalable, fit-for-purpose solutions.
• Develop analytical products, automated workflows, and AI-enabled capabilities that support trial surveillance, medical monitoring, and safety assessment activities.
• Apply statistical methodologies, machine learning techniques, and advanced analytics approaches to generate actionable insights from clinical trial data.
• Contribute to the development and maintenance of integrated analytics platforms, data pipelines, and reporting solutions.
• Transform complex clinical and operational data into clear visualizations and decision-support tools for clinical and safety teams.

Skills

R

Python

Data analysis

Education

Bachelor’s degree in statistics, analytics, bioinformatics, data science or equivalent

Tools

Spotfire

Plotly

PyDash

Job description

AbbVie is seeking a Data Scientist for Trial Surveillance & Analytics (TSA) within Data & AI Acceleration. You will design, develop, and scale AI-powered analytics solutions to monitor clinical trials, assess safety, and provide actionable insights.

Candidates should have 2–5 years of experience in data science and proficiency in R or Python. The role emphasizes transforming complex data into clear visualizations and reliable decision-support tools for clinical and safety teams, with an