Staff Data Scientist- AI Engineer Clinical Solutions
Core
Develop AI-powered solutions and analytical workflows to advance veterinary healthcare, focusing on clinical decision-making, disease risk modeling, and automated interpretation of diagnostic data.
Role type
Staff Data Scientist / AI Engineer (Clinical Solutions)
Builds
AI models, predictive models for disease risk/prognosis, and scalable data pipelines for veterinary diagnostics and internal operations.
Domain
Veterinary healthcare / Animal health / Clinical data science
Deliverable
production ML models
Required skills
Machine learning, Natural language processing (NLP), Python (Pandas, PySpark, scikit-learn), SQL, Data transformation, Statistical methods, Data exploration and visualization, End-to-end solution deployment, Git version control
Preferred skills
Databricks, Prompt engineering, Generative AI techniques, Agentic workflows, LLM frameworks, Knowledge graphs, Ontologies, Semantic data modeling
Technologies
Python, Databricks, MLflow, Git, Pandas, PySpark, scikit-learn
Responsibilities
Design, prototype, and operationalize AI models for veterinary applications; Apply ML and NLP to structured and unstructured clinical data (EMR, imaging, lab results); Develop predictive models for disease risk and treatment outcomes; Partner with veterinary experts to translate domain questions into scalable solutions; Build explainable AI models to support clinical decisions; Contribute to evaluation frameworks for AI-driven tools; Collaborate with data engineers to implement scalable data pipelines; Apply prompt engineering and RAG to improve generative AI performance.
Seniority
Staff, hands-on IC with strategic impact