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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Machine Learning & Computer Vision Scientist - R&D (Junior/Associate) - **Company:** Elanco Animal Health Incorporated - **Location:** Indianapolis, IN, United States - **Experience:** Starter - **Contract:** Internship / Graduate position - **Skills:** Amazon Web Services, Computer Vision, Microsoft Azure, Bioinformatics, Python (Programming Language), Machine Learning, OpenCV, Open Source Technology, Tensorflow, Data Processing, Graphics Processing Unit (GPU), Cloud Platform System, Feature Engineering, Pytorch, Deep Learning, Model Validation, Git, Scikit Learn, Data Management, Databricks - **Published:** August 4, 2026 - **Apply:** https://www.jofdav.com/jobs/59108158-machine-learning-computer-vision-scientist-r-d-junior-associate ## About the Role * Education: Master's degree in a quantitative field (e.g., Data Science, Engineering, Mathematics, Physics, Statistics, Bioinformatics) * Required Experience: Early applied ML/CV experience: 0-3 years applying ML and/or computer vision to real datasets through academic projects, internships, industry roles, or open-source work, with evidence of hands-on model development and evaluation. * Top Technical and interpersonal skills: Proficiency in Python and familiarity with ML/CV libraries such as scikit-learn, PyTorch or TensorFlow, and OpenCV; understanding of core ML concepts and basic deep learning; and a collaborative, clear-communicating working style. What will give you a competitive edge (preferred qualifications): * Scientific data and project experience: Exposure to scientific datasets (e.g., high-content imaging, histopathology, microscopy, behavioral video, assay data) and completed projects, theses, or publications showing applied ML/CV skills with scientific or healthcare relevance. * Technical craft and tooling: Familiarity with training deep learning models on GPUs, use of Git and reproducible workflows, and exposure to data platforms or cloud environments such as Databricks, Azure, or AWS. * Growth orientation and initiative: Demonstrated ability to learn quickly, iterate on models and analyses, and contribute to reusable code, tools, or documentation that improve team efficiency and quality. ## Description As the Machine Learning & Computer Vision Scientist (Junior/Associate), you will help drive Elanco's R&D innovation by implementing and refining ML and computer-vision models that support faster, better-informed decisions. You will work closely with senior scientists and R&D stakeholders to turn proprietary molecular, in vitro, imaging, and digital endpoint data into predictive and classification models for target identification, molecular optimization, ADMET, and digital biomarkers in animal health., * Implement and refine ML/CV models under guidance, developing, training, and tuning models on R&D datasets (molecular, in vitro, imaging, behavioral) in collaboration with senior scientists to align with scientific objectives. * Prepare and manage datasets for modeling by cleaning, transforming, and merging data from multiple scientific sources, running exploratory analyses, and contributing to feature engineering and clear dataset documentation. * Support data collection, annotation, and synthetic data work by helping improve capture and labeling workflows for images, video, and assay data, assisting with annotation guidelines, and evaluating synthetic data and augmentation to improve sparse datasets and model robustness. * Assist with model evaluation and reporting by contributing to train/validation/test design, applying appropriate metrics and error analyses, and documenting methods, assumptions, limitations, and results for review and reuse. * Collaborate and grow ML/CV expertise by joining cross-functional project meetings, sharing learnings through short demos or presentations, and actively building knowledge in drug discovery, development, and ML/CV techniques. ## Related Videos - [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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