Research Scientist - Statistics

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 Responsibilities

Core 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 tea...