Find & Apply For Statistician Jobs in Indianapolis, Indiana

Computational Statistician (R2-R4) Employer Eli Lilly and Company Location Indianapolis, Indiana Start date Aug 25, 2026 View more categories View less categories Discipline Science/R D , Biostatistics Required Education Masters Degree/MBA Position Type Full time Hotbed BioMidwest , Best Places to Work Apply now Save job Click to add the job to your shortlist You need to sign in or create an account to save a job. Send job Job Details Company Job Details At Lilly, the work is demanding because patients are waiting. We unite caring with discovery to help make life better for people around the world, knowing that every decision, every detail, and every day matters. Headquartered in Indianapolis, Indiana, our over 50,000 employees around the globe take on complex challenges to discover and deliver life-changing medicines, strengthen how health is understood and managed, and support the communities we serve. This is hard, urgent, selfless work—but it's work worth doing. If you're driven by purpose and ready to bring your best to work that truly matters for patients, we invite you to join us.

MULTIPLE OPENINGS

Eli Lilly and Company seeks a Computational Statistician (R2-R4) to develop data analysis plans for clinical trials. Assist in selecting statistical methods for data analysis. Conduct peer reviews of work products from statistical colleagues. Establish reporting databases and analyze clinical trial data by working with clinical research associates and project statisticians. Implement previously outlined statistical analysis plans. Ensure accuracy of reported data and statistical analyses by applying relevant disease states and competitive landscapes. #LI-DNI Position requires a Master's degree in Biostatistics, Statistics, Applied Science, Computer Science, or related a STEM field, and 1 year of academic or employment experience with implementing statistical analyses and reporting. Academic or employment experience must include a minimum of: 1 year of experience with statistical programming software, including SAS and R; 1 year of experience with investigating raw data issues identified during statistical analysis; and 1 year of experience with developing and validating datasets. Telecommuting benefit available. Up to 5% domestic and international travel is required. #LI-DNI Job location: Indianapolis, IN. To apply, please visit https://jobsearch.lilly.com/ and enter job requisition number

R-107945

when prompted. Alternatively, please send your resume, cover letter, and a copy of the ad to: Eli Lilly and Company, Lilly Corporate Center, Drop Code 1093, Indianapolis, IN 46285. Lilly 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 ( https://careers.lilly.com/us/en/workplace-accommodation ) 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 (AMECA), Black Employees at Lilly (BE@Lilly), Chinese Culture Network (CCN), EnAble, Evolve, Lilly Indian Network (LIN), Organization of Latinx at Lilly (OLA), Pride (LGBTQ+ Allies), Veterans Leadership Network (VLN) and Women's Initiative for Leading at Lilly (WILL). Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $76,627.00 - $127,709.00 per year Full-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. #WeAreLilly Company Science has been our calling from the beginning. Colonel Eli Lilly founded the company in 1876 and charged employees to "take what you find here and make it better and better." More than 147 years later, we remain committed to his vision through every aspect of our business and the people we serve, starting with discovering the best treatments for those who take our medicines and extending to health care professionals, employees and the communities in which we live. Moreover, you can also count on the team at Lilly to be incredibly civic-minded, supporting our communities through philanthropy, volunteerism, and a creative and innovative can-do spirit. Company info Location 893 S Delaware St Indianapolis Indiana 46285 United States Share this job Facebook Twitter LinkedIn Apply now Send job Apply now Save job Click to add the job to your shortlist You need to sign in or create an account to save a job. Get job alerts Create a job alert and receive personalized job recommendations straight to your inbox. Create alert Similar jobs Associate Director, Biostatistics King of Prussia, PA Senior Principal Statistician Palo Alto, CA Translational Project Lead Statistician Waltham, Massachusetts