Advisor - Computational Statistician

Job ID: R-105199Company: LillyLocation: Indianapolis, Indiana, United States of AmericaJob Type: Full TimeCategory: Research & DevelopmentPosted Date: 2026-04-30At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We’re looking for people who are determined to make life better for people around the world.Responsibilities Statistical Analysis:Collaborate with other statistical colleagues and study personnel to provide input to statistical analysis plans, write reports and communicate results, assist/respond to regulatory queries.Assist in and/or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the analysis plan, and conducting the actual analysis once a reporting database is created.Collaborate with data management in the planning and implementation of data quality assurance plans.Maintain proficiency with respect to SAS programming and statistical methodology and in applying new and varied methods.Effectively justify methods selected and implement previously outlined analysis plans.Conduct peer-review of work products from statistical colleagues.Effectively use current technologies and available tools for conducting the clinical trial analysis.Responsible for assisting in the communication of study results via regulatory submissions, and manuscripts, as well as for communicating one-on-one with key customers.Therapeutic Area and Systems Knowledge:Understand relevant disease states in order to enhance the level of customer focus and collaboration.Ensure replication of tools and systems, where applicable and stay informed of technological advances.Regulatory and Quality Compliance:Perform work in full compliance with assigned curriculum(s) and will be responsible for following applicable corporate, medical, local, and departmental policies, procedures, processes, and training.This role provides statistical leadership in multiple dimensions including:Masters primary programming language and its capabilities in implementing any type of analysis or computation.Apply innovative programming techniques to solve critical problems.Collaborate with project statistician to suggest appropriate methodology. ·Merges scientific thinking & business knowledge to identify & impact business issues.Drives projects internally (or externally), works effectively across functions. Use technical expertise to influence business decisions.Identify broad technical issues, drives assessment of options and implement robust solutions.Basic Qualifications Master’s degree in Statistics, Biostatistics, or MSPH with concentration in Statistics or Biostatistics, or relevant areas.7+ years of statistical analysis/programming experience.Additional Skills/PreferencesProficiency in statistical programming languages/software such as SAS, R, Spotfire, etc.Interpersonal/teamwork skills for effective interactionsTechnical growth and application with solid understanding of statistics and statistical softwareSelf-management skills with a focus on results for prompt and accurate completion of competing deliverablesCreativity and innovationDemonstrated problem solving ability and attention to detail.Data analysis, technology, and systems expertiseLilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form () for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response.Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status.Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women’s Initiative for Leading at Lilly (WILL), enAble (for people with disabilities). Learn more about all of our groups.Actual compensation will depend on a candidate’s education, experience, skills, and geographic location. The anticipated wage for this position is$151,500 - $244,200Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including 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; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly’s compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees.#WeAreLillySkillsstatistical analysissas programmingr programmingstatistical methodologyspotfiredata quality assuranceregulatory compliancestatistical analysis plan developmentpeer reviewstakeholder communicationdata managementtherapeutic area knowledgescientific writingself-management