Senior Computational Statistician — Global Impact

BioSpace; Indianapolis (IN); On-site; USD 66,000 - 194,000; Full time

Benefits offered by this job

401(k) plan

Pension

Vacation benefits

Medical, dental, vision benefits

Flexible benefits

Life insurance

Time off and leave

Well-being programs

Job summary

Lilly, headquartered in Indianapolis, IN, is seeking a statistics professional to lead data analysis for clinical trials. The role focuses on developing analysis plans, applying statistical methods, and communicating results to stakeholders and regulatory teams.

Ideal candidates have a Master’s in Statistics/Biostatistics and 2+ years of experience, with strong SAS, R, and data management collaboration skills. The position emphasizes accuracy, collaboration, and impact on patient outcomes.

Qualifications

• Master’s degree in Statistics, Biostatistics or MSPH with concentration in Statistics or Biostatistics
• 2+ years of statistical analysis/programming experience
• Proficiency in SAS, R and Spotfire or similar tools
• Strong data analysis and statistical methods skills
• Ability to communicate results to stakeholders and regulatory teams

Responsibilities

• Collaborate with statistical colleagues and study personnel to develop analysis plans and write reports
• Select statistical methods for data analysis and execute analyses
• Collaborate with data management on data quality assurance
• Maintain proficiency in SAS/R and applicable methodologies
• Support communication of study results for regulatory submissions and manuscript preparation
• Contribute to peer reviews of statistical work products
• Use current technologies and tools for clinical trial analysis

Skills

SAS

R

Spotfire

Interpersonal skills

Problem solving

Self-management

Creativity

Data analysis

Education

Master’s degree in Statistics/Biostatistics/MSPH

Tools

SAS

R

Spotfire

Job description

Lilly, headquartered in Indianapolis, IN, is seeking a statistics professional to lead data analysis for clinical trials. The role focuses on developing analysis plans, applying statistical methods, and communicating results to stakeholders and regulatory teams.

Ideal candidates have a Master’s in Statistics/Biostatistics and 2+ years of experience, with strong SAS, R, and data management collaboration skills. The position emphasizes accuracy, collaboration, and impact on patient outcomes.