Statistician (Health Research)

Research & DevelopmentPosted Date: 2026-07-14At 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. Job DescriptionAt Lilly, we serve an extraordinary purpose. We make a difference for people around the globe by discovering, developing, and delivering medicines that help them live longer, healthier, more active lives. Not only do we deliver breakthrough medications, but you also can count on us to develop creative solutions to support communities through philanthropy and volunteerism.We are seeking a candidate with experience in pre-clinical research, particularly in the oncology space.Responsibilities:The Project Statistician provides statistical leadership in multiple dimensions including:Provides technical leadership and expertise in initiating and carrying out multi-disciplinary or cross functional projects that impact the Lilly Research Laboratory and the Statistical Sciences organizationLeads the assessment and introduction of new statistical technology and methodology, including both frequentist and Bayesian techniques, to apply to broader practiceLeads the design and analysis of in-vitro and in-vivo experiments to advance the discovery portfolio, innovative study designs, and statistical analysis plans in collaboration with biologists and other researchersProvides consultation for specialized biomarker analyses including genomic analysis of RNA expression data and analysis of other biomarker data (single cell RNA, NGS, protein, imaging) in conjunction with pre-clinical and clinical dataEstablish novel visualizations to explain complex results and interactionsProvides consulting and statistical direction on priority discovery projectsStatistical Design and Analysis:Work with Drug Discovery teams to understand statistical needs to improve the quality of candidates and shorten drug development timelines. This will involve understanding the experimental objectives, appropriately specifying the primary and secondary endpoints, setting the sample size using statistical power analysis, determining appropriate statistical methods, and analyzing the data to determine the results. Engage in the write up of the results and presentations to Project and Scientific ManagementUnderstand biological assay development needs and advise biologists on experiments required to validate biological assays for Drug Discovery programs. Experience with design of experiments and applications to high throughput screens will be valuable in this role.Find opportunities for Meta-Analysis and other Data Mining techniques, and then conduct them, to identify key results from a series of experiments to identify key conclusions from the gestalt of all experiments in the program and determine appropriate next steps the Project Team should prioritize to optimize progress. This will require knowledge of in-house data repositories, knowledge about publicly available data sources and repositories, and the ability to use appropriate data management tools to build the necessary datasets and then to conduct the analysisDevelop and provide training courses on statistical methods for biologists, chemists, and other research staffPotential leadership and direction of contracted statistical analyst supportMaintain currency with respect to statistical methodology, maintain proficiency in applying new and varied methods, and to be competent in justifying methods selectedInfluence team members regarding appropriate research methodsPerform peer-review of work products from other statistical colleaguesCommunication of Results and Inferences:Collaborate with team members to write reports and communicate resultsAssist with, or be responsible for, communicating study results via internal governance, manuscripts, or oral presentations in group settings, as well as for communicating one-on-one with key customers and presenting at scientific meetingsRespond to regulatory queries and interact with regulatorsTherapeutic Area Knowledge:Understand disease states, competitive landscapes, and the foundational science in order to enhance the level of patient focus and collaboration and be seen as a strong scientific contributorRegulatory 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 as well as ensuring legal, regulatory and data protection requirements are met in all activitiesStatistical leadership and Teamwork:Introduce and apply innovative methodology and tools to solve critical problemsMerge scientific thinking and business knowledge to identify issues, evaluate options and implement solutionsLead projects independently and work effectively across functions. D. in Statistics or BiostatisticsAdditional PreferencesExperience in oncology research is preferredExpertise and experience in study design, mixed models, multivariate analysis, design of experiments, multiplicity control, and analysis of varianceProficient in statistical programming languages/software such as R, Python, SAS, JMP, etc.Demonstrated problem solving ability and critical thinkingInterpersonal communication skills for effective customer consultation and collaborationAn established track record of developing and maintaining an area of statistical or collaborative researchAdditional Preferences (a plus, but not required):Experience with pre-clinical, biomarker, genomics/genetics, or discovery research data and analysesExperience manipulating and analyzing large data setsKnowledge or education in BiologySkills in biological pathway/network analysisSkills in predictive modeling and machine learningExperience working in High-Performance Computing environmentLilly 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. Africa, Middle East, Central Asia (AMECA), Black Employees at Lilly (View email address on click.appcast.io), 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).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). pension; 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; employee assistance program, fitness benefits, and employee clubs and activities).WeAreLillySkillsstatistical analysisstatistical designoncology researchmixed modelsmultivariate analysisdesign of experimentsmultiplicity controlanalysis of variancerpythonsasjmpbiomarker analysisgenomics analysisrna expression analysissingle cell rna analysisprotein analysisimaging analysisdata visualizationpredictive modelingmachine learninghigh-performance computingregulatory compliancepeer reviewtraining delivery