Data Scientist - Trial Surveillance & Analytics (Hybrid)

AbbVie; Illinois; Sur place; USD 120 000 - 160 000; Plein temps

Avantages offerts par ce poste

Paid time off

Medical/dental/vision insurance

401(k)

Résumé du poste

AbbVie’s Trial Surveillance & Analytics (TSA) team seeks a data scientist to design, build, and scale AI-enabled analytics for clinical trial surveillance. You will work with statisticians, scientists, and engineers to translate complex trial data into actionable insights, dashboards, and automated reporting.

The role emphasizes applying machine learning, statistical methods, and generative AI to improve monitoring, safety evaluation, and operational efficiency in trials across multiple

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.

Responsabilités

• 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 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 data into clear visualizations and decision-support tools for clinical and safety teams.
• Apply AI to transform statistical programming using agentic coding and generative AI.
• Collaborate to establish best practices and reusable analytical assets for high-quality user experiences.
• Support continuous innovation through experimentation and evaluation of emerging AI technologies.
• Identify opportunities to improve processes and data quality, reducing manual effort.
• Ensure compliance with regulatory requirements, GCP, ICH guidelines, AbbVie policies.

Connaissances

R

Python

Statistics

Data Science

Machine Learning

Visualization

Formation

Bachelor's degree in Statistics or related field

2-5 years experience in data science

Outils

Spotfire

Plotly

SAS/R

Description du poste

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 onLinkedIn, Facebook, Instagram, XandYouTube.

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.

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.

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.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

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