Research Scientist - Computational Biologist

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: Research Scientist - Computational Biologist  

 

As a Research Scientist on our Discovery Research team, you will be at the forefront of Elanco’s mission to deliver innovative biologics that improve animal health.

You will leverage and develop state-of-the-art AI and structural modeling tools to predict, design, and optimize therapeutic antibodies and proteins.

Partnering closely with our principal Computational Scientist and wet-lab teams, you will directly impact the speed and success of our pipeline, helping to create the next generation of animal health therapies.

This role offers a unique opportunity to grow your skills in a rapidly evolving field while contributing to tangible, real-world outcomes. 

 

Your Responsibilities: 


* Utilize and develop AI-driven tools (e.g., AlphaFold, Rosetta) to predict and design high-resolution structures of antibodies and other proteins, directly supporting our therapeutic biologics pipeline. 



* Apply generative AI and structural modeling techniques to design novel antibody and protein modalities from scratch, optimizing them for high-precision epitope targeting, affinity, and specificity. 



* Proactively identify and engineer out potential liabilities (e.g., aggregation, immunogenicity) and train novel structure-based ML architectures to enhance the developability of our biologic candidates. 



* Partner closely with wet-lab scientists to analyze experimental data, validate computational predictions, and rapidly iterate on designs to accelerate antibody selection and optimization. 



* Stay current with the evolving AI landscape by evaluating new tools, maintaining thorough documentation, and effectively communicating complex findings to cross-functional teams. 

 

What You Need to Succeed (minimum qualifications): 


* Education: Ph.D.

in Computational Biology, Bioinformatics, Structural Biology, Computer Science, or a related field. 



* Experience: 0-3 years of post-graduate experience applying computational methods to biological problems. 



* Top Skills: A strong foundation in structural bioinformat...