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Elanco

Research Scientist - Statistics

Elanco

62d ago

0OtherUnited Stateshimalayas
Research-ScientistBiostatisticsStatisticsAnimal-Health-R&DClinical-DevelopmentStatistics-Research-ScientistStatistical-ScientistStatistical-Data-ScientistStatisticianResearch-Data-ScientistQuantitative-Research-ScientistStatistical-ScienceScientific-ResearcherData-ScienceMid-level

Job Description

At Elanco (NYSE: ELAN) – it all starts with animals!As a global leader in animal health, we are dedicated to innovation and delivering products and services to prevent and treat disease in farm animals and pets. At Elanco, we are driven by our vision of Food and Companionship Enriching Life and our purpose – all to Go Beyond for Animals, Customers, Society and Our People.At Elanco, we pride ourselves on fostering a diverse and inclusive work environment. We believe that diversity is the driving force behind innovation, creativity, and overall business success. Here, you’ll be part of a company that values and champions new ways of thinking, work with dynamic individuals, and acquire new skills and experiences that will propel your career to new heights.Making animals’ lives better makes life better – join our team today!The Research Scientist - Statistics provides critical statistical leadership and support for Research and Development (R&D) studies, facilitating the global registration of innovative animal health products. This role is instrumental in the lifecycle of product development, ensuring statistical integrity from initial protocol design through to final regulatory submission. Additionally, individuals in this position may also support initiatives working with or supporting EKS, Marketing, Technical Development and other strategic areas.Key ResponsibilitiesCore Statistical Support Study Design & Planning: Contribute to or co-author study protocols by providing expert statistical input on experimental design, randomization, sample size calculations, and methodology. Analysis & Execution: Perform statistical analysis of data in strict adherence to study protocols. Deliver high-quality results in standard formats, including Statistics Reports, and Tables, Figures, and Listings (TFLs). Reporting: Contribute to the authoring and review of comprehensive study reports for regulatory submission and manuscripts for publication. Timelines: Manage statistical deliverables to ensure alignment with established project timelines and priorities. Innovation & Advanced Methodologies New Concepts: Actively investigate and implement statistical methods, specifically focusing on: Artificial Intelligence (AI): Exploring machine learning and LLM applications utilizing study and Real World data. Digital Twins: Developing and maintaining digital twins for predictive modeling in animal health. Bayesian Initiatives: Applying Bayesian frameworks to enhance decision-making and trial efficiency. Adaptive Designs: Integrating flexible trial frameworks such as interim analyses and sample size re-estimation to improve study flexibility while maintaining strict regulatory compliance. Continuous Improvement: Contribute to the development, dissemination and implementation of novel statistical methods and best practices within the Statistics team. Regulatory & Compliance Quality Standards: Ensure all work complies with regional and local regulatory requirements, including GLP, GCP, EMA, FDA, and USDA standards. Functional Procedures: Assist in the development and periodic review of Elanco Functional Procedures and standard operating practices. Functional Processes: Assure all work complies with Elanco Functional Procedures and business processes Collaboration & Strategic Support Cross-Functional Partnership: Routinely collaborate with colleagues in Clinical Development, Regulatory Affairs, Data Management, Quality Assurance, and Marketing. External Management: Oversee Contract Research Organization timelines and perform technical reviews of their deliverables. Strategic Initiatives: Support strategic R&D initiatives within Elanco Clinical Sciences and with cross-functional teams. QualificationsMinimum Requirements Education:PhD or MSc/MS in Statistics, Biostatistics, or a strongly related field. Core Training: Demonstrated training in Design of Experiments (DoE), GLMM, Survival Analysis, and Categorical Methods. Demonstrable exposure to applications and training in the AI/ML domain. Technical Proficiency: Advanced experience using Python, R, and/or SAS software. Demonstrated capability with statistical application of AI-related tools. Additional Preferences Programming: Proficient in multiple programming languages usedin industry statistical applications. Regulatory Experience: Familiarity with licensing animal health products in the US or Europe. Software: Expert user of Microsoft Office Suite (Word, Excel, PowerPoint, Outlook). Behavioral Competencies Entrepreneurial Mindset: Ability to work in a fast-paced, collaborative environment with a focus on innovation and problem solving. Communication: Strong verbal and written communication skills to effectively translate complex statistics for non-statistical project team members. Don’t meet every single requirement? Studies have shown underrepresented groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to bui