Data Scientist - Trial Surveillance & Analytics (Hybrid)

AbbVie Inc.; South San Francisco (CA); On-site; USD 120,000 - 180,000; Full time

Job summary

AbbVie in South San Francisco is seeking a Data Scientist to design, develop, and scale AI-enabled analytics for trial surveillance and medical monitoring. You will transform complex clinical data into actionable insights, build automated reporting, and collaborate with cross-functional teams to deliver value across the development lifecycle.

The role requires 2–5 years of data science experience, proficiency in R or Python, and familiarity with ML/AI techniques.

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.

Responsibilities

• Partner with cross-functional stakeholders to translate needs into scalable solutions.
• Develop analytical products, automated workflows, and AI-enabled capabilities for surveillance and safety.
• Apply statistical methodologies and ML to generate actionable insights from trial data.
• Contribute to integrated analytics platforms, data pipelines, and reporting solutions.
• Transform complex data into visualizations and decision-support tools for clinical and safety teams.
• Apply AI to generate, validate, and document code and migrate legacy SAS to R.
• Collaborate to establish best practices and reusable analytical assets.
• Support innovation through experiments and evaluation of new analytics technologies.
• Identify opportunities to improve processes and data quality and reporting efficiency.
• Ensure compliance with regulatory requirements (GCP, ICH) and AbbVie policies.

Skills

R

Python

Machine learning

Generative AI

Data visualization

Automated reporting

Education

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

Master’s or PhD degree preferred

Tools

Spotfire

PyDash/Plotly

Job description

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, Xand 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 employeeremains in 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.

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https://www.abbvie.com/join-us/reasonable-accommodations.html