Data Scientist - Trial Surveillance & Analytics (Hybrid)
About The Position
Trial Surveillance & Analytics (TSA) is a multidisciplinary team within Data & AI Acceleration, part of AbbVie’s Data and Statistical Sciences. The team uses AI-enabled data integration, analytics, and automated reporting to transform clinical trial surveillance and provide integrated medical monitoring and safety surveillance capabilities throughout the clinical development lifecycle. The Data Scientist designs, develops, and scales analytics solutions that support clinical trial surveillance, medical monitoring, safety evaluation, and data-driven decision-making. The role applies analytical expertise, business acumen, and modern AI-enabled approaches to turn complex clinical data into actionable insights, improve operational efficiency, and support patient safety. The team is AI-native, using agentic coding and AI tools in programming, analysis, and reporting.
Requirements
- Bachelor’s degree in statistics, analytics, bioinformatics, data science, or an 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.
- Ability to manage multiple priorities and deliver results in a fast-paced environment.
- Strong collaboration and communication skills, with experience working in cross-functional teams.
Nice To Haves
- Familiarity with clinical data standards such as CDISC SDTM/ADaM and clinical development processes.
- Master’s or PhD degree.
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 for trial surveillance, medical monitoring, and safety assessment, including solutions spanning data, analytics, and reporting.
- 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 for ongoing monitoring and safety surveillance.
- Transform complex clinical and operational data into visualizations, decision-support tools, and business insights for clinical and safety teams.
- Use agentic coding and generative AI to generate, validate, and document code and outputs; contribute to migrating legacy SAS programs to R; and measure efficiency gains.
- Collaborate on best practices, reusable analytical assets, and standards for high-quality, consistent user experiences.
- Experiment with and develop proofs of concept to evaluate emerging analytical and AI technologies.
- Identify 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.
Benefits
- Paid time off, including vacation, holidays, and sick time.
- Medical, dental, and vision insurance for eligible employees.
- 401(k) for eligible employees.
- Eligible to participate in long-term incentive programs.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
