Lead backend development for HealthEdge’s healthcare technology platform, designing and implementing new features, maintaining existing services, and ensuring high quality through testing and performance optimization.
Compensation
The annual US base salary range for this position is $145,000-$162,000/Yr.
Responsibilities
Implement new product features according to requirements
Work as a back-end server engineer in an agile team
Design and develop application components in Java
Solve technology and usability challenges
Ensure thorough unit, system, and integration testing
Seeking a seasoned Lead Software Engineer to design, build, and scale next-generation healthcare technology solutions that improve patient outcomes, streamline clinical workflows, and drive operational efficiency across health systems.
Compensation
Competitive compensation, flexible work arrangements, and significant career growth opportunities.
Responsibilities
Design, develop, and deliver production-grade software as per defined requirements and technical specifications, ensuring adherence to healthcare domain standards and compliance frameworks.
Build and maintain user interfaces, databases, APIs, and client-facing displays across our healthcare platform, ensuring seamless end-to-end user experiences for our end users.
Initiate and drive technical design—architect complex application features, evaluate design trade-offs, and make sound decisions that balance delivery speed with long-term system maintainability.
Produce well-organized, optimized, and thoroughly documented source code in line with established coding guidelines and best practices, maintaining a high bar for readability and consistency.
Debug, troubleshoot, and refine existing source code — identify root causes efficiently, polish feature sets, and improve system performance and reliability with every release cycle.
Requirements
Bachelor’s degree in Computer Science, Information Technology or related field
Build and validate statistical and machine learning models, including regression, classification, survival analysis, clustering, and key-driver analysis
Design rigorous analyses, including quasi-experimental and causal inference approaches
Apply survey science and psychometrics, including sampling, weighting, reliability, validity, and measurement invariance
Conduct open-ended discovery, test hypotheses, explore anomalies and weak signals
Use Python or R and SQL to integrate, transform, and analyze survey, lifecycle, HRIS, operational, and business data at enterprise scale
Requirements
Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Industrial-Organizational Psychology with a quantitative focus
Data & Analytics Intern to support data and analytics requests and projects, develop dashboards, reports, and performance metrics, and automate reporting workflows.
Responsibilities
Develop, maintain, and enhance dashboards, reports, and performance metrics.
Assist with data collection, cleaning, validation, and integration from multiple sources.
Improve the accessibility, consistency, and usability of business reporting.
Evaluate data quality and identify opportunities to improve accuracy and consistency.
Document data and analytics processes, methodologies, and reporting requirements.
Requirements
Graduate program enrollment (MBA, MS in Business Analytics, Data Science, Statistics, Computer Science, Finance, or related quantitative discipline)
Design, develop, test, deploy, and improve secure, production-ready applications using Java and Python in cloud and hybrid data environments.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Translate stakeholder and business requirements into well-defined technical solutions, prototypes, and delivery plans.
Using Java and Python, create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
Use SQL to analyze large, heterogeneous datasets, validate assumptions, generate insights, and measure solution impact.
Contribute to scalable, resilient architectures and support reliable deployment, monitoring, validation, troubleshooting, and iterative improvement.
Automate operational processes and help eliminate recurring issues to improve platform stability and efficiency.
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