AbbVie Data and Statistical Sciences (DSS) is responsible for bringing people, process, and technology together to generate business value from clinical data. The Manager of Statistical Programming Operations is responsible for optimizing and deploying business processes and technology solutions primarily focused on Artificial Intelligence adoption within DSS in support of the AbbVie portfolio. A technical and innovative role who effectively interfaces and partners with statistical programming, data analytics, data standards, biostatistics, clinical data management and information technology experts to implement next generation clinical data analysis ecosystem.
Responsibilities
Lead/Support the design and implementation of cross-functional solutions, business processes, associated technologies and end-to-end agentic AI solutions tailored for specific pharma use cases; Partner with senior stakeholders across the enterprise to identify business needs, translate them into opportunities, and manage project delivery; Engage with multi-disciplinary experts to influence, elicit, analyze and document business requirements and translate into technology functional requirements; Develop and maintain automation scripts, workflows, and tools using programming languages and AI frameworks, ensuring secure, scalable, and compliant solutions; Deliver optimization of end-to-end business processes that enable quality and efficiency such as process maps, standard operating procedures, job aids, and work instructions; Drive change management by conceiving and operationalizing innovation and facilitating adoption across teams, including demos, training sessions, and knowledge transfer; Stay abreast of emerging technologies and regulatory guidelines to define future AI roadmaps, evaluate industry trends, and engage in external vendor assessment; Ensure that all implementations meet GxP 21 CFR Part 11, data privacy, and computer system validation (CSV) requirements and adhere to applicable regulations, GCP, ICH guidelines, and AbbVie standard operating procedures
Requirements
MS in Statistics, Computer Science or a related field with 7+ years of relevant experience, OR BS in Statistics, Computer Science or a related field with 9+ years of relevant experience; Experience leading and overseeing FSP outsourced programming teams; Demonstrated problem-solving, analytical and multitasking skills with a fundamental understanding of clinical research, statistical programming, CDISC standards and CDISC compliant submission requirements; Fundamental understanding of various programming paradigms, IT system architectures, Agentic AI frameworks; Intermediate-level proficiency in SAS, R, Python, shell scripting or other programming languages; Hands-on application development experience using SAS, R and Python; Ability to effectively communicate complex analytical and technical concepts with clarity, both written and oral to technical and non-technical personnel; Ability to effectively represent Statistical Programming Operations in cross functional teams
Nice to have
Degree in computer science or strong computer science fundamentals; Matrix Management and Project Management skills; Experience with cloud platforms (AWS, Azure) and database systems (vector databases, SQL); Programming certifications and proficiency in multiple programming languages
Benefits
Paid time off (vacation, holidays, sick); Medical/dental/vision insurance; 401(k) for eligible employees; Eligibility for long-term incentive programs