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[Hiring] Computational Statistician @Lilly

Remote · Brazil Full-time

Role Description 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.

Qualifications

  • Master’s degree in Biostatistics, Statistics, Computer Science, or related STEM field.
  • 1.5 years of academic or employment experience with implementing statistical analyses and reporting in clinical trials.
  • Experience must include:
  • 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.

Requirements

  • Telecommuting benefit available.
  • Job location: Indianapolis, IN.

Benefits

  • Eligibility to participate in a 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).
  • Actual compensation will depend on a candidate’s education, experience, skills, and geographic location.
  • The anticipated wage for this position is $46,842.00 - $134,835.00 per year.
  • Full-time equivalent employees will also be eligible for a company bonus (depending, in part, on company and individual performance).

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