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Elanco seeks an ML Engineer– Drug Discovery & R&D Operations to accelerate its portfolio by turning proprietary data into predictive models. You will partner with discovery scientists to build ML and computer‑vision models on molecular, in vitro, ADMET, and imaging data for target identification and biomarker prediction.
You will design and deploy models across multi‑modal data, drive data collection and labeling standards, and ensure reproducibility and governance.
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 the ML Engineer– Drug Discovery & R&D Operations, you will accelerate Elanco’s R&D portfolio by turning proprietary scientific data into predictive models that guide drug discovery and development decisions. You will partner with discovery and development scientists to build machine learning and computer‑vision models on molecular, in vitro, ADMET, and imaging data to support target identification, molecular optimization, digital biomarkers, and endpoint prediction for animal health.
Lead ML/CV work for key R&D programs, partnering with scientists to turn target identification, molecular optimization, in vitro analysis, ADMET, and biomarker questions into modeling problems with clear success criteria. Design, build, and validate advanced ML and computer‑vision models—including CNNs, transformers, graph neural networks, and generative approaches—on multi‑modal data (molecular, assay, imaging, behavioral) to deliver reliable predictions and classifications. Shape data collection, annotation, and synthetic data usage by working with experimental teams on capture protocols, labeling standards, and quality checks; evaluate synthetic data and augmentation to strengthen sparse datasets while managing bias and risk. Operationalize models in R&D workflows by integrating them with tools used by scientists—including building and deploying models in Databricks—and influencing standards for reproducibility, documentation, monitoring, and model governance. Provide technical leadership and mentorship by guiding junior scientists, leading cross‑functional modeling initiatives, and clearly communicating technical concepts and results to diverse stakeholders.
Education & baseline experience: PhD in a quantitative field (e.g., Data Science, Engineering, Physics, Mathematics, Statistics, Bioinformatics, Computational Chemistry), or a Master’s degree with substantial hands‑on ML/CV experience.
Applied ML/CV experience: 7+ years of industry experience building and deploying ML and computer‑vision models for scientific problems in biomedical, pharmaceutical, or related domains, with demonstrated impact and close collaboration with wet‑lab or clinical teams.
Technical and collaboration skills: Strong Python skills and proficiency with modern ML/CV libraries (e.g., PyTorch, TensorFlow, scikit‑learn, OpenCV), solid understanding of statistics and experimental design, and proven ability to work and communicate effectively in cross‑functional, matrixed environments.
Domain expertise and impact: Experience in animal health, pharmaceutical, or biotech R&D, with a record of impactful ML/CV applications (e.g., chemoinformatics, bioinformatics, digital biomarkers) shown through projects, publications, or patents.
Advanced technical depth and platforms: Hands‑on expertise with methods such as neural networks and generative models, plus practical experience operationalizing models using Databricks and MLOps tools in production‑like or scaled environments.
Leadership and influence: Demonstrated success leading cross‑functional teams, mentoring junior scientists, and influencing scientific and technical decisions in complex, global organizations.
Travel: Up to 10% Location: Indianapolis, IN, USA
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.
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.
Elanco Animal Health Incorporated (NYSE: ELAN) is a global leader in animal health dedicated to innovating and delivering products and services to prevent and treat disease in farm animals and pets, creating value for farmers, pet owners, veterinarians, stakeholders, and society as a whole. With nearly 70 years of animal health heritage, we are committed to helping our customers improve the health of animals in their care, while also making a meaningful impact on our local and global communities. At Elanco, we are driven by our vision of Food and Companionship Enriching life and our Elanco Healthy Purpose™ CSR framework – all to advance the health of animals, people and the planet. Learn more at www.elanco.com.