Staff AI Engineer – Clinical Solutions

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Logo of IDEXX

IDEXX

10,000+ employees

Founded 1983

🏥 Healthcare

🔬 Science

🤝 B2B

💰 Seed on 1984-02

Healthcare • Science • B2B

IDEXX is a global veterinary diagnostics and services company that develops products and services to improve the health and well‑being of pets, livestock, and to protect public essentials such as clean drinking water. It provides diagnostic tests, laboratory services, point‑of‑care analyzers, and consultation/testing support for scientists, and also offers practice management and clinical software used by veterinary clinics and reference laboratories. IDEXX primarily serves professional and institutional customers (veterinary practices, labs, and agricultural/food/water safety users) with integrated products and services.

📋 Description

• Design, prototype, and operationalize AI models using Python, Databricks, and MLflow for veterinary healthcare applications • Apply machine learning and natural language processing to structured and unstructured clinical data, including EMR records, diagnostic imaging, and laboratory results • Develop predictive models for disease risk, prognosis, and treatment outcomes • Partner with veterinary experts to translate domain questions into scalable data science solutions • Build explainable AI models to support clinical decisions and trust in automated insights • Contribute to evaluation frameworks for AI-driven tools and solutions • Collaborate with data engineers to implement scalable data pipelines on Databricks • Apply prompt engineering and retrieval-augmented generation (RAG) to improve generative AI performance • Participate in agile development cycles with clear documentation and experiment traceability • Use Git version-control best practices • Advance veterinary diagnostics, earlier interventions, and healthcare decisions for veterinarians and pet owners

🎯 Requirements

• Bachelor’s degree in Data Science, Computer Science, Biomedical Engineering, or related field • Mandatory experience with Generative AI, LLM, Python, Databricks, and RAG • 5+ years of experience developing ML/AI solutions using Python, Pandas, PySpark, scikit-learn, and MLflow • Experience working with large, distributed datasets • Strong background in machine learning, NLP, and statistical methods • Experience in data exploration, analysis, and visualization • Ability to build and deploy end-to-end data science solutions • Strong SQL and data transformation skills • Experience using Git for collaborative development • Strong communication, collaboration, and documentation skills • Ability to work across the full data science lifecycle • Experience with prompt engineering and generative AI techniques • Experience with agentic workflows or LLM frameworks • Familiarity with healthcare or life sciences datasets, including EMR, radiology, and pathology • Knowledge of knowledge graphs, ontologies, or semantic data modeling

🏖️ Benefits

• Opportunity for annual cash bonus • Health / Dental / Vision benefits Day-One • 5% matching 401k • Pet insurance • Mental health resources • Volunteer paid days off • Employee stock program • Foundation donation matching • Competitive compensation, incentives, and benefits

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