Computational Statistician (R2-R4)

Eli Lilly and CompanyUs, IN
Hybrid

About The Position

Eli Lilly and Company seeks a Computational Statistician (R2-R4) to develop data analysis plans for clinical trials. Assist in selecting statistical methods for data analysis. Conduct peer reviews of work products from statistical colleagues. Establish reporting databases and analyze clinical trial data by working with clinical research associates and project statisticians. Implement previously outlined statistical analysis plans. Ensure accuracy of reported data and statistical analyses by applying relevant disease states and competitive landscapes.

Requirements

  • Master’s degree in Biostatistics, Statistics, Computer Science, or related a STEM field.
  • 1.5 years of academic or employment experience with implementing statistical analyses and reporting in clinical trials.
  • 1.5 years of experience with statistical programming/visualization software, including SAS, R, and Spotfire.
  • 1.5 years of experience writing and executing SAS macros and R functions.
  • 1.5 years of experience with investigating raw data issues identified during statistical analysis.
  • 1.5 years of experience with developing and validating SDTM and ADaM specifications and datasets in compliance with CDISC standards.

Responsibilities

  • Develop data analysis plans for clinical trials.
  • Assist in selecting statistical methods for data analysis.
  • Conduct peer reviews of work products from statistical colleagues.
  • Establish reporting databases and analyze clinical trial data by working with clinical research associates and project statisticians.
  • Implement previously outlined statistical analysis plans.
  • Ensure accuracy of reported data and statistical analyses by applying relevant disease states and competitive landscapes.

Benefits

  • Telecommuting benefit available.
  • Company bonus (depending, in part, on company and individual performance).
  • Company-sponsored 401(k).
  • Pension.
  • Vacation benefits.
  • Eligibility for medical, dental, vision and prescription drug benefits.
  • Flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts).
  • Life insurance and death benefits.
  • Certain time off and leave of absence benefits.
  • Well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).
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