AI & Analytics Engineer

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🕒 July 5

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Ohio Chapter, American Academy of Pediatrics (Ohio AAP)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 1934

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

Ohio Chapter, American Academy of Pediatrics (Ohio AAP) is dedicated to educating and advocating for the health and well-being of children and adolescents in Ohio. The organization offers resources, training, and advocacy actions aimed at improving pediatric care, promoting vaccination, and addressing key health issues in the community. They also facilitate engagement among healthcare providers and families through various educational programs and initiatives focused on child health.

📋 Description

• Build and enhance AI-powered applications and agents supporting business workflows • Build user-facing interfaces with modern frontend frameworks to surface AI capabilities to clinical and operational users • Develop backend services and REST or GraphQL APIs integrating AI capabilities into business workflows • Develop AI solution components that automate routine tasks and surface insights • Gather stakeholder requirements under senior guidance and iterate applications based on feedback and testing • Provide ongoing Level 3 support for software products • Integrate AI applications with enterprise systems such as EMR, HRIS, and data platforms • Assist with deployment, testing, and monitoring of AI solutions • Translate documented business requirements into functional workflows • Build and maintain ETL/ELT pipelines for analytics and AI use cases • Ingest and transform data from multiple source systems into centralized platforms • Validate pipeline output accuracy, completeness, and structure • Develop semantic models, datasets, and Power BI dashboards • Apply standardized business metrics and KPI definitions across reports • Optimize queries and data structures for performance and usability • Implement and maintain row-level security and access controls • Partner with IT, clinical informatics, operations, and business stakeholders • Communicate progress, blockers, and trade-offs to technical and non-technical audiences • Follow source control, code review, documentation, and testing practices • Monitor AI outputs and data pipelines for accuracy and reliability • Support data security, privacy, governance, and HIPAA-aware compliance standards • Contribute improvements to AI tools, dashboards, and pipelines • Deliver AI applications, dashboards, and insights under the direction of the AI & Analytics Engineer II and Senior Director of AI, Data, & Enterprise Applications

🎯 Requirements

• 2–4 years of experience in data analytics, BI development, data engineering, or software development • Hands-on experience building custom software products and delivering end-to-end solutions aligned to business requirements • Ability to test, troubleshoot, debug, and ensure reliable application performance across environments • Hands-on professional experience building dashboards, reports, or data pipelines • Experience building and shipping user-facing applications end-to-end with frontend and backend components • Proficiency with a modern frontend framework such as React, Vue, or Angular • Proficiency with a backend framework such as FastAPI, Django, Express, ASP.NET Core, or Spring Boot • Active GitHub profile or equivalent code portfolio with reviewable code samples, required at application • Exposure to AI, machine learning, or workflow automation projects preferred • Proficiency with modern software engineering tools and practices, including IDEs, Agile development, CI/CD, automated testing, and code review • Daily experience with Git and GitHub or comparable tools, including branching, pull requests, and code review workflows • Working proficiency with SQL and relational data modeling • Experience with Power BI or comparable BI platform, including DAX and semantic models • Familiarity with ETL/ELT concepts and at least one data integration tool • Exposure to cloud platforms, Azure preferred, and AI/ML services a plus • Comfort working with structured and unstructured data • Strong analytical and problem-solving skills with attention to detail • Willingness to learn from senior engineers and apply feedback quickly • Effective written and verbal communication with technical and non-technical partners • Ability to manage multiple concurrent tasks and meet committed delivery dates • Healthcare or pediatrics domain interest is a plus

🏖️ Benefits

• Remote work arrangement • Opportunity to build technical depth in AI/ML tooling, cloud services, and modern data platforms • Exposure to emerging AI and analytics technologies relevant to healthcare operations • Rewarding career opportunity • Work supporting innovation and impact in pediatric healthcare