Advisor - Computational Statistician

Eli Lilly Eli Lilly · Pharma · Indianapolis, IN

This role is for a Computational Statistician at Eli Lilly, focusing on statistical analysis and programming for clinical trials. It involves collaborating with statisticians and study personnel, selecting and applying statistical methods, writing reports, responding to regulatory queries, and ensuring data quality. The role requires proficiency in statistical programming languages like SAS and R, and understanding of relevant disease states and regulatory compliance. It is a senior-level position with a focus on applying statistical expertise to healthcare research and development.

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, or relevant areas.
  • 7+ years of statistical analysis/programming experience.
  • Proficiency in statistical programming languages/software such as SAS, R, Spotfire, etc.
  • Interpersonal/teamwork skills for effective interactions
  • Technical growth and application with solid understanding of statistics and statistical software
  • Self-management skills with a focus on results for prompt and accurate completion of competing deliverables
  • Demonstrated problem solving ability and attention to detail.
  • Data analysis, technology, and systems expertise

Nice to have

  • Understand relevant disease states in order to enhance the level of customer focus and collaboration.
  • Ensure replication of tools and systems, where applicable and stay informed of technological advances.
  • Creativity and innovation

What the JD emphasized

  • Masters primary programming language and its capabilities in implementing any type of analysis or computation.
  • Apply innovative programming techniques to solve critical problems.
  • Use technical expertise to influence business decisions.
  • Identify broad technical issues, drives assessment of options and implement robust solutions.