Top Healthtech Data & Analytics Jobs

Assists with designing, implementing, and maintaining databases in server environments. Develops and tests stored procedures and queries, creates data mappings, maintains integrations between database systems, and collaborates with departments to understand data collection, storage, and reporting needs.

Provides administrative and data support for Healthy Families America and Parents as Teachers programs. Responsibilities include high-volume data entry, database maintenance, data cleaning, reporting, evaluation analysis, survey development, chart auditing, compliance documentation, inventory management, referral tracking, and administrative support. The role requires maintaining data accuracy, developing Excel and Access systems, protecting HIPAA information, and occasionally traveling for meetings or home visits.

Design and operate end-to-end infrastructure for intracortical neural data, from ingestion and validation through preprocessing, versioned dataset releases, and training data loaders. Preserve scientific metadata and provenance while implementing signal processing, quality checks, storage optimization, parallel processing, and monitoring. Collaborate with neuroscience, machine learning, infrastructure, and IT teams to support scalable, reliable model training and sensitive research-data management.

Build and maintain dbt data models in Redshift, applying software engineering practices, testing, documentation, and clear lineage. Translate business questions into reusable models, dashboards, and governed semantic metrics for analysts and AI initiatives. Support experimentation and campaign measurement, collaborate with data engineering and product teams, develop AI-driven workflows, and proactively resolve data quality issues.

Design and build petabyte-scale data pipelines for genomic and imaging data, transforming public and proprietary datasets into AI-ready training data. Develop agent-based curation and quality-control systems, data cataloging tools, and reliable observable infrastructure. Collaborate with AI researchers and scientists to define data requirements and integrate diverse biological datasets while addressing performance, bandwidth, scalability, and scientific correctness.

Analyze and integrate web, media, survey, research, and healthcare claims data to identify performance trends and optimization opportunities. Build dashboards, reporting frameworks, and executive presentations while translating complex datasets into actionable strategic insights. Collaborate with media, strategy, and client teams, ensure data integrity, and provide thought leadership on measurement, KPIs, and performance frameworks. The role also requires responsible use of generative AI and strong communication with senior stakeholders.

Leads enterprise data engineering, architecture, integrations, and database teams. Oversees production SQL Server environments and directs migration of data platforms and pipelines to Azure Cloud and Databricks. Establishes engineering standards, guides SSIS and legacy workflow modernization, ensures security and healthcare regulatory compliance, and manages resource planning, roadmaps, budgets, disaster recovery, monitoring, and system lifecycle activities.

Partners with commercial leaders to deliver sales analytics, reporting, data modeling, KPI frameworks, and decision support. Develops Tableau and Power BI solutions, evaluates sales performance and market trends, improves reporting through automation, and supports AI-assisted and conversational analytics. Collaborates across Sales, Marketing, Pricing, Sales Operations, and IT to align analytics with business goals.

Analyzes data from multiple sources to create dashboards, reports, recommendations, and performance insights. Supports Professional Relations, Sales, audits, quality assurance, cost containment, utilization review, fee schedule analysis, and compliance reporting. Uses SQL, Power BI, Network360, and geoaccess mapping to investigate data, maintain definitions and workflows, identify treatment and operational trends, troubleshoot issues, and communicate findings to stakeholders and leadership.

Coordinates workforce forecasting and analysis processes, developing 6–36-month demand and staffing forecasts. Builds predictive and scenario-based models, monitors accuracy, translates demand into workforce requirements, evaluates initiative ROI, and provides data-driven insights for staffing, budgeting, capacity planning, and strategic decisions. Presents forecasts and risks to leadership while ensuring data quality and alignment with operating plans.