PhD Statistician Intern

Eli Lilly and Company

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Indianapolis, IN
Employment: Full-time
Posted: 7 days ago
Freshness: Confirmed live yesterday
Closes: Jan 4, 2027
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $172k

$116k $230k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $126,787–$216,250.

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.

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At a glance

TL;DR · PhD Statistician Intern

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The Campus - PhD Statistician Intern joins the Global Statistical Sciences department to contribute to cutting-edge research in drug discovery and development. This role involves designing, executing, and analyzing clinical and other studies while partnering with experts in statistics, basic science, and medical fields to optimize development processes. The intern will apply innovative methodologies to solve critical problems, including working with adaptive designs, Bayesian statistics, causal inference, genetic/biomarker analysis, and machine learning. Required technical skills include proficiency in SAS, R, and Python, along with experience using AI tools like generative AI platforms or automation tools. The position requires a PhD student in Statistics or Biostatistics to apply experimental design and statistical analysis to help transform how medicines are developed and managed for patients.

Skills

SAS R Python Machine Learning Bayesian Statistics Causal Inference Experimental Design Statistical Analysis Generative AI Biostatistics Automation Tools

What you'll do

Design, execute, and analyze clinical and other research studies.
Partner with statistics, basic science, and medical experts to optimize drug discovery and development processes.
Introduce and apply innovative methodologies and tools to solve critical business problems.
Communicate research results accurately and creatively to stakeholders.
Maintain up-to-date knowledge of novel data, analytics technologies, and statistical approaches.
Build fluency with AI tools while prioritizing accuracy, confidentiality, and ethical standards.
Apply critical thinking to AI-assisted work and research analytics.

What we're looking for

Must be currently enrolled in a PhD program in Statistics or Biostatistics.
Must complete the third year of the PhD program by May 2027.
Must be proficient in statistical programming languages or software such as SAS, R, or Python.
Must possess technical expertise and working knowledge of experimental design and statistical analysis.
Must have interpersonal communication skills for effective customer consultation.
Must demonstrate creativity, innovation, and strategic thinking.
Must demonstrate ability to solve problems.
Prior experience using AI tools in an academic, project, or work setting (preferred).

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