Technology Lead, Statistical Programming Operations

Published date Posted on Indeed on Nov 19, 2021 (9 d ago)


The Technology Lead, Statistical Programming Operations is responsible for optimizing and deploying business processes and technology solutions within data sciences to support company portfolio. A technical and innovative role that partners with statistical programming, clinical analytics, standards, statistics, data science and information technology experts to implement next generation clinical data analysis ecosystem.


  • Designs, deploys, and maintains various cross-functional solutions, business processes, and associated technologies such as statistical computing environment, metadata repository, output delivery depot and standard macro library.
  • Delivers optimization of end-to-end business processes that enable quality and efficiency such as process maps, SOPs, and work instructions. Drives change management by conceiving and operationalizing innovation and facilitating adoption across teams.
  • Engages with multi-disciplinary experts to influence, elicit, analyze, and document business requirements and translate into technology functional requirements. Leverages project management tools and software development methodologies to manage resources, mitigate risk and deliver on commitments.
  • Evaluates and recommends upcoming industry trends, best practices, cutting-edge tools, and novel programming approaches that leverage machine learning, simulation, robotic automation, metadata driven processes, artificial intelligence and natural language processing.
  • Ensures adherence to global and local agency regulations, good clinical practices (GCP), ICH guidelines, company SOP’s and functional quality standards.


  • B.S. in computer science, data science, statistics, or a related field with 7+ years of relevant experience. M.S. preferred.
  • Demonstrated Matrix Management and Project Management skills.
  • Demonstrated understanding of clinical research with emphasis on statistical programming.
  • Fundamental knowledge of CDISC standards and CDISC compliant submission requirements.
  • Intermediate-level proficiency in SAS, R, python, shell scripting or other programming languages. Intermediate-level knowledge of statistical and data mining techniques.
  • Demonstrated problem-solving, analytical, and multitasking skills.
  • Ability to effectively communicate complex analytical and technical concepts with clarity, both written and oral.
  • Programming certifications and proficiency in multiple programming languages desirable.
  • Familiarity with various programming paradigms and IT system architectures desirable.

At IQVIA, we believe in pushing the boundaries of human science and data science to make the biggest impact possible – to help our customers create a healthier world. The advanced analytics, technology solutions and contract research services we provide to the life sciences industry are made possible by our 70,000+ employees around the world who apply their insight, curiosity and intellectual courage every step of the way. Learn more at

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law.

IQVIA, Inc. provides reasonable accommodations for applicants with disabilities. Applicants who require reasonable accommodation to submit an application for employment or otherwise participate in the application process should contact IQVIA’s Talent Acquisition team at to arrange for such an accommodation.

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