• Develop and maintain scalable and robust applications using our technology stack. • Design and implement front-end interfaces using React, TypeScript, and JavaScript. • Build and maintain back-end services using NodeJs. • Utilize AWS infrastructure to deploy and manage applications in a serverless architecture. • Collaborate with cross-functional teams to define, design, and ship new features. • Participate in code reviews, ensuring code quality and adherence to best practices. • Debug and resolve technical issues across the full stack. • Contribute to the continuous improvement of our development processes and tools.

• Build, extend, and maintain advanced chemical safety and predictive toxicology platforms. • Work on decision tree / rule-based engines, scientific data interfaces, and integrating external source system data into a unified informatics environment. • Rule and Algorithm Design. • Work with AI to draft initial implementation of rules. • Rule Validation. • Work with experts and AI to refine rules and resolve questions/issues; perform testing and validation of each rule. • Tree Logic Encoding. • Implement decision tree; perform testing and validation of tree traversal. • Integration and Testing. • Integrate rule engine with tree logic and validate end-to-end.

• Design, develop, and maintain client's enterprise applications using Delphi • Supported legacy modernization and ongoing system enhancements • Analyze requirements and implement scalable and secure solutions • Ensure seamless integration with databases, APIs, and external systems • Collaborate with cross-functional teams

**What You’ll Do ** - Technical Leadership: Collaborate with cross-functional teams to design and develop a scalable platform. Experience with C#, React, SQL and Azure is a plus - though we value adaptability and a willingness to learn above specific stack mastery. - Architectural Decision-Making: Partner with peers to make high-level decisions on backend and frontend frameworks, DevOps processes, and scalability patterns. - Hands-On AI Involvement: Contribute to existing AI-driven features - improving them, troubleshooting issues, and designing new capabilities that seamlessly integrate into our product. - Customer-First Focus: Keep patient safety and healthcare provider needs top of mind. Propose solutions that deliver the highest business and user impact. - Ownership & Delivery: Take features from concept to production. Ensure code quality, testing coverage, reliability, and observability. - Mentorship & Team Building: Guide less experienced engineers, provide feedback, and help cultivate an environment of continuous learning.