About the Role
This role involves deploying directly into client environments to analyze data systems, identify inefficiencies, and deliver tailored analytical tools that improve operational and clinical outcomes in healthcare delivery.
Responsibilities
- Collaborate with healthcare providers to understand data infrastructure and reporting needs
- Design and implement analytical models to support clinical decision-making
- Translate complex data findings into clear, actionable recommendations
- Work on-site with client teams to integrate data solutions into workflows
- Diagnose data quality issues and recommend system improvements
- Develop dashboards and visualizations for performance tracking
- Support the deployment of predictive analytics in care management
- Gather requirements through direct engagement with clinical staff
- Ensure compliance with healthcare data privacy standards
- Optimize data pipelines for real-time reporting
- Lead training sessions for non-technical stakeholders
- Iterate on models based on client feedback and operational changes
- Document technical processes and client-specific configurations
- Partner with engineering teams to scale successful pilots
- Monitor solution performance post-implementation
- Identify opportunities for automation in data collection
- Assist in evaluating electronic health record integrations
- Maintain detailed records of client interactions and project milestones
- Coordinate with product teams to inform roadmap priorities
- Troubleshoot data discrepancies in live environments
Nice to Have
- Master’s degree in data science, biostatistics, or related field
- Direct experience in healthcare operations or clinical settings
- Prior work with value-based care programs
- Familiarity with HIPAA compliance frameworks
- Experience using version control systems like Git
- Knowledge of natural language processing on clinical notes
- Background in public health or epidemiology
- Exposure to real-time data streaming technologies
- Certification in project management or data science
- Published work in data science or health informatics
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model with field-based responsibilities
Team
Cross-functional team focused on healthcare innovation
What You’ll Do
- Engage directly with healthcare teams to assess data challenges
- Build custom analytics tools that address specific workflow gaps
- Validate model outputs against real-world clinical outcomes
- Serve as a technical liaison between clients and internal teams
- Drive adoption of data practices through hands-on support
Our Impact
- Improve patient care through better data utilization
- Reduce administrative burden using automated reporting
- Enable providers to make faster, evidence-based decisions
- Strengthen data infrastructure in under-resourced settings
- Scale effective solutions across multiple care sites
Available for qualified candidates
