Data Scientist Trial Surveillance & Analytics (Hybrid)

Trial Surveillance & Analytics (TSA) is a multidisciplinary team of data scientists statisticians statistical programmers and AI specialists in Data & AI Acceleration part of AbbVies 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:

• Bachelors 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.
• Masters 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 or local law: 

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of thisposting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic locationand we may ultimately pay more or less than the posted range. This range may be modified in the future. 

• We offer a comprehensive package of benefits including paid time off (vacation holidays sick) medical/dental/vision insurance and 401(k) to eligible employees.

• This job is eligible to participate in our long-term incentive programs. 

Note: No amount of pay is considered to be wages or compensation until such amount is earned vested and determinable. The amount and availability of any bonus commissionincentive benefits or any other form of compensation and benefits that are allocable to a particular employee remains in the Companys sole and absolute discretion unless anduntil paid and may be modified at the Companys sole and absolute discretion consistent with applicable 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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No

Employment Type :

Full-time