Data Scientist: AI-Driven Trial Surveillance & Analytics

AbbVie; California; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

401(k)

Paid time off

Medical insurance

Dental insurance

Vision insurance

Job summary

AbbVie’s Trial Surveillance & Analytics (TSA) team seeks a Data Scientist to design, develop, and scale analytics solutions for clinical trial surveillance, medical monitoring, and safety evaluation. This role combines analytical expertise with modern AI-enabled approaches to translate complex clinical data into actionable insights that improve operational efficiency and patient safety.

You will apply statistical methods, machine learning, and agentic AI to generate insights, develop data

Qualifications

• Bachelor’s degree in statistics, analytics, bioinformatics, data science or equivalent field.
• 2-5 years of experience in data science, analytics, statistical programming, data engineering, or related disciplines.
• Complete or Full / Career proficiency in R, Python or other statistical languages and packages.
• Intermediate-level knowledge of statistical and data mining techniques.
• Intermediate proficiency with visualization tools such as Spotfire, PyDash/Plotly, or equivalent platforms.
• Experience applying machine learning, artificial intelligence, or generative AI technologies to business problems.
• Experience developing automated reporting, data products, or end-to-end analytical solutions.

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, including streamlined solutions from data to analytics to reporting.
• 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 that support ongoing monitoring and safety surveillance.
• Transform complex clinical and operational data into clear visualizations, decision-support tools, and meaningful business insights for clinical and safety teams.
• Apply AI to transform statistical programming: use agentic coding and generative AI to generate, validate, and document code and outputs, contribute to migrating legacy SAS programs to R, and measure resulting efficiency gains.
• Collaborate with team members to establish best practices, reusable analytical assets, and standards that ensure high-quality and consistent user experiences.
• Support continuous innovation through experimentation, proof-of-concept development, and evaluation of emerging analytical and AI technologies.
• Contribute to operational excellence initiatives by identifying opportunities to improve processes, reduce manual effort, and enhance data quality and reporting efficiency.
• Ensure compliance with applicable regulatory requirements, GCP, ICH guidelines, AbbVie policies, and departmental quality standards.

Skills

R

Python

Spotfire

Plotly/PyDash

Machine learning

AI-enabled analytics

Education

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

Master’s or PhD degree preferred

Tools

SAS

SQL

Job description

AbbVie’s Trial Surveillance & Analytics (TSA) team seeks a Data Scientist to design, develop, and scale analytics solutions for clinical trial surveillance, medical monitoring, and safety evaluation. This role combines analytical expertise with modern AI-enabled approaches to translate complex clinical data into actionable insights that improve operational efficiency and patient safety.

You will apply statistical methods, machine learning, and agentic AI to generate insights, develop data