The Technical Analyst will review and evaluate medical and billing documentation submitted through the Federal IDR portal to determine eligibility. They will also collaborate with cross-functional teams to ensure timely case resolution and provide recommendations for process improvements.
The Data Engineer will design, build, and optimize scalable cloud-based data pipelines and infrastructure to support government analytics. They will collaborate with cross-functional teams to modernize legacy data systems and ensure high-quality data delivery for mission-critical projects.
The role involves designing and deploying machine learning models, NLP solutions, and RAG systems on AWS to support healthcare data analytics. You will also build scalable knowledge graphs and collaborate with cross-functional teams to provide data-driven insights for federal healthcare objectives.
The Program Control Analyst supports the financial and operational success of projects by managing forecasting, cost tracking, and performance reporting. They partner with project managers to ensure financial integrity and compliance while providing actionable insights for strategic decision-making.
The Medicaid Data SME will perform complex business analysis on healthcare datasets to provide actionable insights and support program oversight. They will collaborate with multidisciplinary teams to develop innovative solutions and technical documentation that enhance Medicaid and CHIP program outcomes.
The CBT Training Specialist will design, develop, and maintain computer-based training and eLearning materials for federal healthcare programs. They will collaborate with subject matter experts and stakeholders to create engaging, Section 508-compliant content using instructional design best practices.
The Data Analyst will support data analysis, reporting, and analytics solution delivery within a federal healthcare environment. They will collaborate with stakeholders to identify requirements, collect and interpret data, and translate findings into actionable business recommendations.
The Senior Database Administrator will design, build, and optimize scalable data solutions and pipelines using AWS and Snowflake. They will collaborate with cross-functional teams to modernize the data ecosystem while implementing robust data quality and monitoring frameworks.
The Team Lead will manage analytics product lifecycles and lead complex technical initiatives using Lean-Agile principles to deliver customer-centered solutions. They are responsible for mentoring junior staff, conducting advanced data analysis, and serving as a technical advisor to management and clients.
The Senior Data Analyst will conduct quantitative and qualitative research on Medicaid and CHIP data to provide actionable insights for federal healthcare programs. They will collaborate with cross-functional teams to develop predictive models, reports, and visualizations that support evidence-based decision-making and policy improvements.
The Deputy Task Lead coordinates cross-functional activities and translates strategic direction into actionable plans and documented deliverables. They track project milestones, risks, and dependencies while facilitating communication between internal teams and federal stakeholders.
The Senior Data Scientist will lead the development of advanced analytical solutions, including NLP and LLM/RAG frameworks, to address complex healthcare policy challenges. They will collaborate with stakeholders to design data-driven products that improve program oversight and health outcomes for Medicaid and CHIP programs.
The Senior Full Stack Engineer will design, develop, and maintain cloud-based web applications across front-end, back-end, and database layers. They will also manage AWS deployments, CI/CD pipelines, and ensure application security and operational reliability.
Build and maintain cloud-based full stack applications and data solutions across front-end, back-end, and database layers. Develop RESTful APIs and ETL pipelines using Snowflake and Apache Airflow within an AWS environment.
Design and optimize enterprise-scale data solutions and reusable workflows within Snowflake and Azure environments. Build scalable ETL pipelines and implement data governance and compliance policies to ensure data quality.
