Research Advisor, Statistics

Eli Lilly and Company

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Indianapolis, IN
Salary
$151,500–$222,200 / yr
Employment
Full-time
Posted
47 days ago
Freshness
Confirmed live yesterday
Closes
Dec 18, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $189k
This role $187k
$132k $250k
below market most similar roles pay here above market

This role pays less than 54% of similar roles. Most pay $152,957–$224,625 — the blue band above. At the midpoint, this role pays about $187k versus about $189k for comparable roles.

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 · Research Advisor, Statistics

JOB TITLE: Campus: Research Advisor - Statistics The Campus: Research Advisor - Statistics joins the Global Statistical Sciences department to support the development of medicines. This role involves collaborating with physicians and clinical research scientists to design study protocols, clinical plans, and data analysis plans. The advisor will establish reporting databases, select appropriate statistical methods, and conduct actual data analysis for clinical studies. Key responsibilities include authoring protocol sections, performing peer reviews, and communicating results through regulatory submissions, manuscripts, or oral presentations. Candidates must be proficient in statistical programming languages and software including SAS, R, and Python. The role requires expertise in experimental design, statistical analysis, and AI tools. This position addresses complex problems in clinical development by applying innovative methodologies like Bayesian statistics, causal inference, and machine learning to improve patient outcomes.

What you'll do

  • Design study protocols and clinical plans in collaboration with physicians and research scientists.
  • Select appropriate statistical methods for data analysis and author corresponding protocol sections.
  • Conduct statistical analyses on clinical study data once reporting databases are established.
  • Collaborate with data sciences to plan and implement data quality assurance plans.
  • Peer-review work products from other statistical colleagues to ensure accuracy and quality.
  • Write reports and communicate study results via regulatory submissions, manuscripts, or oral presentations.
  • Respond to regulatory queries and interact directly with regulatory bodies.
  • Apply innovative methodology and AI tools to solve critical research problems.

What we're looking for

  • Must be currently enrolled in and attending graduate school.
  • Must complete a Ph.D. degree in Statistics or Biostatistics by September 2027.
  • Must be proficient in statistical programming languages and software such as SAS, R, and 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 teamwork, leadership, and self-management skills with a focus on timely results.
  • Must possess demonstrated problem-solving ability, critical thinking, and creativity.
  • Prior experience using AI tools in an academic, project, or work setting (preferred).

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