Sr. Computational Statistician

Eli Lilly Eli Lilly · Pharma · Indianapolis, IN

This role focuses on statistical analysis for clinical trials within the healthcare domain, requiring expertise in statistical methods, programming (SAS, R), and collaboration with study personnel and regulatory bodies. It is not directly involved in building AI/ML models but uses statistical tools for data analysis and reporting.

What you'd actually do

  1. Collaborate with other statistical colleagues and study personnel to provide input to statistical analysis plans, write reports and communicate results, assist/respond to regulatory queries.
  2. Assist in and/or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the analysis plan, and conducting the actual analysis once a reporting database is created.
  3. Collaborate with data management in the planning and implementation of data quality assurance plans.
  4. Maintain proficiency with respect to SAS programming and statistical methodology and in applying new and varied methods.
  5. Effectively justify methods selected and implement previously outlined analysis plans.

Skills

Required

  • Master’s degree in Statistics, Biostatistics or MSPH with concentration in Statistics or Biostatistics
  • SAS programming
  • statistical methodology

Nice to have

  • R
  • Spotfire
  • Interpersonal/teamwork skills
  • Technical growth and application with solid understanding of statistics and statistical software
  • Self-management skills
  • Creativity and innovation
  • Demonstrated problem solving ability and attention to detail
  • Data analysis, technology, and systems expertise

What the JD emphasized

  • statistical methods
  • SAS programming
  • statistical methodology