Lirio

Data Engineer

• The Senior Data Engineer is responsible for the design, implementation, and continuous operation of Lirio’s data platform.
• Ensure that data from internal and external sources is collected, transformed, and presented in a usable form to the various data consumers within the organization.
• Assure the execution of the data platform and processes, including monitoring, proactively identifying issues, troubleshooting and timely implementation of corrections or improvements.
• Collaborate with the broader technology team to engineer new data models, systems, and workflows.
• Provide subject matter expertise across the organization.

Senior Data Engineer

AI Research Scientist

• Lead research initiatives to drive conversational AI model improvements and guide generative AI-driven product solutions
• Collaborate with AI researchers and engineers to improve conversational technologies and integrate them into Lirio’s objective-driven architecture and agentic framework
• Ensure conversational feedback is leveraged in the proprietary behavior-based foundation model
• Research, develop, and improve techniques to enable behavioral-science content libraries and knowledgebases to be optimally leveraged in real-time by language models
• Align and leverage feedback mechanisms within the Objective-Driven AI framework for LLM conversational models
• Work with personalization experts to leverage personalized embeddings and broader context in patient-facing conversational models
• Contribute to research on safety and trustworthiness of medical chatbots
• Plan and carry out integration of scientific research advances within Lirio’s products following software engineering processes
• Oversee design, build, and maintenance of scalable, secure generative AI platforms and core services
• Contribute to Lirio’s mission of improving health outcomes for everyone

Principal Generative AI Scientist

Data Scientist

• Lirio is a technology/software company that provides expertise in behavioral science, data science, and machine learning to deliver Precision Nudging health interventions.
• This is a remote role with opportunity to be hybrid if located in Tennessee. All applicants must be authorized to work in the US without sponsorship.
• The Data Scientist is responsible for development and communication of reports, insights, narratives, and visualizations related to the performance of Precision Nudging for healthcare outcomes.
• Work closely with behavioral scientists, computer scientists, machine learning engineers, and data engineers to develop methods and tools to derive insights into efficacy of Lirio behavior change programs, patient engagement execution, and ML implementations.
• Tasks include exploratory data analysis, statistical & data model development, code development, data visualization development, cost/usage analysis and prediction, and contributions to data science, analytics and reporting efforts.
• Customer-facing position requiring strong communication and interpretation of data for non-technical audiences and strong data storytelling abilities.
• Collaborate with Lirio leadership, other data professionals and the Lirio Growth team to shape client-facing narratives.
• Build and deliver customer-facing reports and insights that highlight outcomes attributable to Lirio’s Precision Nudging.
• Identify and investigate data trends, anomalies, and opportunities translating findings into actionable recommendations.
• Contribute to customer reports, marketing materials, and thought leadership through analytical narratives and visualizations.
• Serve as interpretation layer between Data Engineering and stakeholders translating raw data, ML outputs, and complex models into understandable insights that connect technical results to business strategy and client impact.
• Present complex data insights to technical and non-technical audiences via creation and delivery of presentations.
• Translate technical challenges into clear data requirements within Lirio’s Analytics Data Model.
• Develop and support user-friendly tools and dashboards empowering self-service data access and insights.
• Design and implement solutions ensuring data accuracy, consistency, and efficient reporting.
• Implement changes to reporting data processes and workflows.
• Maintain data governance and security/privacy standards when analyzing sensitive client data.
• Design, implement, test and deploy production software in compliance with Lirio’s software development practices.
• Engineer, transform, and validate datasets for modeling ensuring high data quality and reproducibility.
• Design, build, and deploy predictive and prescriptive models that inform healthcare, behavioral, and business outcomes.
• Apply advanced statistical methods including causal inference and time-series forecasting.
• Conduct experiments and A/B testing to measure causal impact of interventions.
• Collaborate with Data Engineering to build scalable pipelines for advanced analytics and ML.
• Monitor and maintain model performance over time and retrain when needed.
• Identify opportunities to enhance reporting tools with predictive and prescriptive analytics.
• Communicate model assumptions, limitations, and results to both technical and non-technical audiences.

Artificial Intelligence

• Design, develop, and integrate Generative LLM-based conversational models within Lirio’s AI architecture
• Lead integration of conversational, generative-LLM-based technologies into Lirio’s Objective-Driven Multi-Agent Framework
• Lead research initiatives to drive conversational AI model improvements and guide creation of generative AI-driven solutions and products
• Collaborate with AI researchers and engineers to improve conversational technologies and integrate them into the objective-driven architecture and agentic framework
• Ensure conversational feedback is leveraged in the proprietary behavior-based foundation model
• Research and develop techniques to enable behavioral-science content libraries and knowledgebases to be leveraged in real-time by language models
• Align and leverage feedback mechanisms within the Objective-Driven AI framework for LLM conversational models
• Work with personalization experts to leverage personalized embeddings and broader context in patient-facing conversational models
• Contribute to research on the safety and trustworthiness of medical chatbots
• Plan and carry out integration of scientific research advances into Lirio’s products following software engineering processes
• Oversee design, build, and maintenance of scalable, secure generative AI platforms and core services
• Contribute to Lirio’s mission of improving health outcomes for everyone

Senior Data Engineer

Principal Generative AI Scientist

Data Scientist

VP, Generative AI