Data Scientist - Trial Surveillance & Analytics (Hybrid)

ABBVIE; Irvine (CA); On-site; USD 110,000 - 209,000; Full time

Job summary

AbbVie is seeking a Data Scientist in Irvine to design and scale analytics solutions for trial surveillance, medical monitoring, and safety evaluation using AI-enabled approaches. You will translate stakeholder needs into automated data products and reporting pipelines, leveraging R, Python, and modern visualization tools.

The role emphasizes collaboration across teams, development of reusable analytics assets, and adherence to GCP/ICH guidelines while driving operational efficiency and patient

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.
• Proficiency in R, Python or other statistical languages and packages.
• Experience with machine learning, AI, or generative AI technologies.
• 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 solutions.
• Develop analytical products, automated workflows, and AI-enabled capabilities for trial surveillance and safety assessment.
• Apply statistical methodologies and ML techniques to generate actionable insights from clinical trial data.
• Contribute to analytics platforms, data pipelines, and reporting solutions.
• Transform clinical and operational data into visualizations and decision-support tools.

Skills

Statistics

Analytics

Data science

R

Python

Visualization

Spotfire

Plotly

Machine learning

Generative AI

Education

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

Master’s or PhD preferred

Tools

Spotfire

Plotly

Job description

• Full-time
• Salary Min: 109500
• Salary Max: 208500
• Workday Global Grade: 18
• Compensation: USD 109,500 - USD 208,500 - yearly

Company Description

About AbbVie

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube.

Job Description

Trial Surveillance & Analytics (TSA) is a multidisciplinary team of data scientists, statisticians, statistical programmers, and AI specialists in Data & AI Acceleration, part of AbbVie's Data and Statistical Sciences, focused on transforming clinical trial surveillance through AI-enabled data integration, analytics, and automated reporting. TSA delivers integrated medical monitoring and safety surveillance capabilities that enable timely, trusted, and actionable insights across the clinical development lifecycle.

Data Scientists play a key role in designing, developing, and scaling innovative analytics solutions that support clinical trial surveillance, medical monitoring, safety evaluation, and data-driven decision-making. This position combines analytical expertise, business acumen, and modern AI-enabled approaches to transform complex clinical data into meaningful insights that improve operational efficiency and support patient safety. The team is AI-native: agentic coding and AI tools are part of how we program, analyze, and report.

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.

Qualifications

Minimum Qualifications:

• Bachelor’s degree 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.

Preferred Qualifications:

• Familiarity with clinical data standards (e.g., CDISC SDTM/ADaM) and clinical development processes preferred.
• Master’s or PhD degree preferred.

Other Required Skills:

• Demonstrated ability to manage multiple priorities and deliver results in a fast-paced environment.
• Strong collaboration and communication skills and experience working in cross-functional teams.

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state orlocal law:

The compensation range described below is the range of possible base pay compensation that the Companybelieves ingood faith it will pay for this role at the timeof thisposting based on the job grade for this position.Individualcompensation paid within this range will depend on many factors including geographic location,andwemayultimatelypaymore or less than the posted range. This range may bemodifiedin thefuture.

We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick),medical/dental/visioninsurance and 401(k) to eligibleemployees.

This job is eligible toparticipatein our long-term incentiveprograms.

Note: No amount of payis considered to bewages or compensation until such amount is earned, vested, anddeterminable.The amount and availability of any bonus,commission,incentive, benefits, or any other form ofcompensation and benefitsthat are allocable to a particular employeeremainsin the Company's sole andabsolutediscretion unless anduntil paid andmay bemodifiedat the Company’s sole and absolute discretion, consistent withapplicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.