Manager, Statistical Programming

  • Manages cross functional teams and delivers optimization of end-to-end business processes that enable quality and efficiency.
  • 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.
  • Participates in recruitment, selection and mentoring of new staff.


  • Required: B.S. in computer science, data science, engineering, statistics, or a related field with 10+ years of relevant experience OR M.S. in computer science, data science, engineering, statistics, or a related field with 8+ years of relevant experience.
  • Previous experience leading teams. Matrix Management and Project Management skills desirable.
  • Ability to effectively communicate complex analytical and technical concepts with clarity, both written and oral.
  • Ability to effectively represent Statistical Programming Operations in cross functional teams.
  • Demonstrated problem-solving, analytical, and multitasking skills with a good understanding of clinical research, statistical programming and CDISC standards.
  • Intermediate-level proficiency in SAS, R, python, shell scripting or other programming languages. Intermediate-level knowledge of statistical and data mining techniques.
  • Programming certifications and proficiency in multiple programming languages are desirable.
  • Familiarity with various programming paradigms and IT system architectures desirable.

This individual can work remotely anywhere within the U.S.