below marketmost similar roles pay hereabove market
This listing doesn't post a salary. Most similar roles pay
$110,993–$211,150.
Based on 240 similar postings.
Employer
About Eli Lilly and Company
Eli Lilly and Company is a global pharmaceutical company that discovers, develops, and markets medicines in areas such as diabetes, oncology, neuroscience, and immunology, known for products like insulin and Mounjaro. Industry: Pharmaceuticals
Eli Lilly and Company currently has
21 open roles
on FindRole.
Listed pay typically runs
$97,925–$127,925
across 8 roles with salary data.
Campus - MS Statistics Intern
As a Computational Statistician Intern, you will join the Statistics, Data and Analytics organization to partner with experts in statistics, data sciences, medical, regulatory, and clinical fields. You will lead a project addressing specific research or business needs by applying your statistical programming knowledge to deliver high-quality results. Your daily responsibilities include collaborating with stakeholders, presenting technical aspects of your project to the organization, and introducing innovative thinking. You will utilize R, SAS, Spotfire, and WinBUG, while also building fluency with AI tools like generative AI platforms and automation tools. The role requires expertise in experimental design and statistical analysis to solve complex pharmaceutical industry problems. You must demonstrate strong interpersonal communication, teamwork, and critical thinking skills to ensure accurate and ethical project completion.
Apply statistics and programming skills to projects within the Statistics, Data and Analytics organization.
Lead projects by identifying research goals, business needs, and potential impacts.
Collaborate with stakeholders across medical, regulatory, and clinical departments.
Present technical project details and results to the broader organization.
Apply innovative thinking and creative problem-solving to project tasks.
Utilize AI tools for research and analytics while maintaining accuracy and ethical standards.
Manage competing deliverables to ensure timely and accurate completion of project tasks.
What we're looking for
Must be enrolled in and attending a graduate-level curriculum leading to a Master’s degree in Statistics, Biostatistics, or MSPH with a concentration in Statistics or Biostatistics.
Must possess proficiency in statistical programming languages and software such as R, SAS, Spotfire, and WinBUG.
Must have technical expertise and working knowledge of experimental design and statistical analysis.
Must possess interpersonal communication skills for effective customer consultation.
Must demonstrate teamwork, leadership, and self-management skills with a focus on timely and accurate results.
Must demonstrate creativity, innovation, and strong problem-solving abilities.
Prior experience using AI tools in an academic, project, or work setting (preferred).
SAS
R
Python
Machine Learning
Bayesian Statistics
Causal Inference
Experimental Design
Statistical Analysis
Generative AI
Data Quality Assurance
Biostatistics
Python
R
Machine Learning
PowerBI
Tableau
Cloud Computing
Database Development
Generative AI
Process Automation
Data Science
Analytics
Data Flow
System Validation
Clinical Trial Planning and Design
Clinical Statistics
Data Analysis
Data Management
Generative AI
Clinical Systems Management
Medical Writing
Laboratory Science
Clinical Research
Clinical Trial Budgeting
Clinical Supply and Delivery
Generative AI
Data Analysis
Clinical Statistics
Data Management
Clinical Trial Planning
Laboratory Science
Medical Writing
Automation Tools
Clinical Systems Management
Clinical Research