Research Scientist - Computational Biologist

Elanco in; Indianapolis (IN); On-site; USD 110,000 - 160,000; Full time

Benefits offered by this job

Multiple relocation packages

Two weeklong shutdowns (mid-summer and

8-week parental leave

9 Employee Resource Groups

Annual bonus offering

Up to 6% 401K matching

Job summary

Elanco is seeking a Research Scientist - Computational Biologist to advance AI-driven design of antibodies and proteins within our Discovery Research team. You will leverage state-of-the-art tools to predict structures and optimize biologics, collaborating closely with wet-lab colleagues to accelerate pipeline progress.

PhD in relevant field with 0-3 years of computational biology experience is expected, with a strong emphasis on Python, AI/ML methods, and cross-disciplinary communication.

Qualifications

• Ph.D. in Computational Biology, Bioinformatics, Structural Biology, Computer Science, or a related field.
• 0-3 years of post-graduate experience applying computational methods to biological problems.
• Strong foundation in structural bioinformatics and AI/ML modeling, with proficiency in Python and cross-functional teamwork.

Responsibilities

• Utilize and develop AI-driven tools (e.g., AlphaFold, Rosetta) to predict and design high-resolution structures of antibodies and other proteins, supporting the biologics pipeline.
• Apply generative AI and structural modeling to design novel antibody and protein modalities with optimized epitope targeting, affinity, and specificity.
• Proactively identify and engineer liabilities and train ML architectures to improve developability of biologic candidates.
• Collaborate with wet-lab scientists to analyze data, validate predictions, and iterate designs to accelerate antibody selection and optimization.
• Stay current with AI advances, document findings, and communicate complex results to cross-functional teams.

Skills

Structural bioinformatics

AI/ML modeling

Python

Cross-functional collaboration

Education

PhD in Computational Biology/related

Tools

AlphaFold

Rosetta

Job description

Research Scientist - Computational Biologist (Biotech)

About Us

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

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 bioinformatics and AI/ML modeling, with proficiency in a programming language like Python, and the communication skills to work effectively in a cross-functional scientific environment.

What will give you a strong edge (preferred qualifications)

Experience with de novo protein design tools, such as diffusion models or physics-based approaches.

A track record of applying computational tools to solve biological problems, evidenced by publications or significant project contributions.

Familiarity with cloud computing environments (e.g., AWS, GCP) and MLOps principles.

Experience in antibody or protein engineering and a foundational understanding of immunology.

A proactive mindset with a passion for staying current with the rapidly evolving AI landscape and a motivation to test and evaluate new methodologies.

Additional Information

Travel : Minimal

Don't meet every single requirement? Studies have shown underrecognized groups are less likely to apply to jobs unless they meet every single qualification. At Elanco we are dedicated to building a diverse and inclusive work environment. If you think you might be a good fit for a role but don't necessarily meet every requirement, we encourage you to apply. You may be the right candidate for this role or other roles!

Elanco Benefits and Perks

• Multiple relocation packages
• Two weeklong shutdowns (mid-summer and year-end) in the US (in addition to PTO)
• 8-week parental leave
• 9 Employee Resource Groups
• Annual bonus offering
• Up to 6% 401K matching
• Elanco is an EEO/Affirmative Action Employer and does not discriminate on the basis of age, race, color, religion, gender, sexual orientation, gender identity, gender expression, national origin, protected veteran status, disability or any other legally protected status
• Elanco may use automated tools, including AI, to support parts of our recruitment process, such as reviewing applications against job‑related criteria and/or transferrable skills. These tools help ensure a consistent, structured evaluation, but they do not make hiring decisions. All decisions involve a human reviewer. For more information on how we handle personal data, please see our Elanco Workforce Privacy Notice.