Senior Research Scientist: Insilico Prediction Platform Lead

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!

Your Role: In Silico Structural & Property Prediction Platform Leader

As the In Silico Structural & Property Prediction Platform Leader, you will drive the strategy, development, and integration of automation, AI, and ML–powered prediction models that accelerate early-stage drug discovery across Elanco’s research portfolio.

You will shape the platform vision, partner closely with scientific and technical teams, and enable computational approaches that support both small and large molecule innovation.

This position plays a central role in building scalable, data-driven, and automated research capabilities within pharmaceutical R&D.

Your Responsibilities:

• Develop and execute the technical strategy for Elanco’s structural and property prediction platform in alignment with key scientific and therapeutic priorities.
• Evaluate, select, and implement advanced AI/ML models—including generative, diffusion-based, deep learning, and graph-based approaches—to support small and large molecule discovery.
• Lead the integration of new computational and automation capabilities into existing discovery workflows and research pipelines.
• Establish standards and best practices for model ingestion, benchmarking, validation, deployment, reproducibility, and scientific data integrity.
• Build scalable workflows and automated processes that streamline predictive modeling and improve scientific throughput.
• Continuously evolve the platform by incorporating stakeholder feedback, monitoring performance indicators, and tracking scientific and technological advancements.

What You Need to Succeed (minimum qualifications):

• Education: Bachelor’s, Master’s, or PhD in molecular biology, biotechnology, bioengineering, bioinformatics, cheminformatics, computational biology, data science, or a related scientific discipline.
(Scientific domain-first backgrounds are preferred; technical candidates without strong scientific grounding will not be prioritized.)

• Experience: 8+ years in computational drug discovery, including at least 5 years leading AI/ML or automation-focused projects or platforms within ph...