Computational Statistician (R2-R4) at Lilly

Indianapolis, Indiana, United States -

Full Time

Start Date

Immediate

Expiry Date

25 Sep, 26

Salary

137667.0

Posted On

27 Jun, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Statistical Analysis, SAS, R, SQL, CDISC Standards, SDTM, ADaM, EMR Database, Claims Database, Data Visualization, Clinical Trial Data Analysis, Real-World Data Analysis

Industry

Pharmaceutical Manufacturing

Description

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. 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 and real-world data by working with clinical research scientists 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, R and SQL; 1 year of experience with investigating raw data issues identified during statistical analysis; 1 year experience with developing SDTM and ADaM specifications and datasets by CDISC standards; 1 year experience with EMR and Claims database; and 1 year experience with developing visualization dashboards for data exploration and reporting. Telecommuting benefit available. #LI-DNI Job location: Indianapolis, IN. To apply, please visit https://jobsearch.lilly.com/ and enter job requisition number R-107972 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 $46,842.00 - $137,667.00 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

Responsibilities

Develop data analysis plans and implement statistical methods for clinical trials and real-world data. Collaborate with research scientists to establish reporting databases and ensure the accuracy of reported statistical analyses.