R&D Data Scientist

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!

As a Data Scientist – R&D Systems & Data Governance at Elanco, you will serve as a strategic technical leader bridging advanced data science and data governance.

In this role, you will define, establish, and operationalize R&D wide data governance, policies, and standard operating procedures (SOPs) from a systems perspective.

You will provide critical advisory on which data attributes, metadata standards, ontologies, and master data models must be controlled, standardized, and harmonized at R&D specific levels.

Reporting into the R&D organization and closely partnering with Enterprise Data Office (EDO), Operations, and IT, you will drive foundational data readiness across key R&D scientific platforms—including ARCHI, Benchling (ELN / Registry / Inventory), Revvity (Signals / Informatics), and Clinical Systems (EDC, CTMS, eCOA/ePRO).

You will ensure that research, discovery, and clinical trial data are structured, lineage-tracked, and AI-ready to accelerate pipeline breakthroughs and regulatory submissions.

This includes four strategic priorities:


* R&D Governance & Systems Policy: Support the interoperability of Data across R&D and Enterprise-wide ecosystems.


* Attribute-Level Data Architecture: Determine and advise on critical R&D data attributes, controlled vocabularies, schemas, and master data entities required to ensure cross-system interoperability.


* Pipeline Acceleration & AI Readiness: Optimize data capture, extraction, and standardization across preclinical and clinical workflows to power machine learning, generative AI, and predictive modeling.


* Data Quality & Compliance Excellence: Establish automated data quality frameworks, lineage monitoring, and compliance controls (FAIR principles, GxP, ALCOA+) across interconnected scientific systems.

Your Responsibilities:


* R&D Data Governance & Policy Formulation: Author, establish, and govern enterprise-wide data policies, standards, data classification, and operating procedures across R&D software platforms, ensuring seamless alignment between scientific workflows and enterprise IT architecture.


* Attribute-Level Con...