Top Healthtech Jobs in Charlotte, NC

Support administrative and operational activities for home health referrals: review and enter referrals, ensure completeness, triage calls, communicate with clinical and business teams, and facilitate timely admissions using referral systems.

Retrieve, process, and upload medical records to support care teams and care planning. Manage ROI requests, track progress, prioritize based on need, and maintain EHR and archives while ensuring HIPAA compliance.

Lead design and scaling of automated test frameworks across UI, API, integration, and performance layers. Integrate AI-enabled test generation and monitoring, embed tests in CI/CD pipelines, ensure audit-ready documentation for GxP/21 CFR Part 11 compliance, and collaborate with Engineering, DevOps, and Quality to increase automation coverage and release confidence.

Lead design and implementation of AWS-based infrastructure and CI/CD for a secure, scalable clinical data platform. Build IaC, automate releases and testing, operationalize MLOps, mentor engineers, troubleshoot distributed production issues, and ensure observability, compliance, and disaster recovery.

The Senior FP&A Analyst focuses on revenue analysis, KPI reporting, month-end close support, and forecasting while collaborating across teams.

Design and scale robust, secure distributed web applications; lead architectural initiatives; ship full‑stack features using TypeScript/React/Node.js; integrate AI-assisted and LLM-based functionality; mentor engineers and drive technical excellence through reviews and documentation.

The Tag Manager will oversee and optimize Rula's tagging ecosystem, ensuring accurate data capture and collaborating cross-functionally to enhance analytics capabilities and data trust.

Lead launch and scaling of AI-powered patient-facing features that augment therapy. Partner with clinicians, engineers, data scientists, and designers to prototype, validate, and ship clinically-grounded, safe, and personalized AI experiences across the care journey.

Lead launch of new in-home clinical services, build clinical workflows, run ROI analyses, write SQL and build BI dashboards for operational and quality metrics, partner with clinical leaders to improve workforce processes, and shape growth strategy to drive patient impact and business outcomes.

Lead research on large language models to address healthcare challenges, collaborating with teams to enhance model performance and ensure real-world applicability.

The Senior Financial Analyst will provide financial insights to drive operational efficiency and support budgeting and forecasting for Technology, along with leading projects andad hoc analyses.

The Corporate Development Associate will assist in M&A and pricing strategies, conduct financial analyses, engage with investors, and support corporate KPIs in a fast-paced environment.

The RVP of Sales will drive business growth for Pager Health by selling AI-enabled healthcare solutions, managing complex sales cycles, leading contract negotiations, and representing the company at industry events.

As an Email Marketing Coordinator, you will lead lifecycle marketing efforts, optimize e-commerce emails and SMS initiatives, manage campaigns, and analyze marketing data to drive engagement and revenue for Vetcove's platform.

The Data Engineer III role involves designing and maintaining scalable data pipelines, modernizing data flows, and improving data quality within Cedar's healthcare system. Collaboration with various teams is essential to ensure accurate data delivery and governance standards are met.

Lead the Data Engineering team to strengthen client billing, financial reporting pipelines, and machine learning while ensuring data quality and reliability.

Dandy seeks a Machine Learning Engineer to develop 3D computer vision models using SOTA methods, collaborate with product teams, and implement MLOps pipelines.

The role involves building computer vision models, researching deep learning methods, handling large datasets, and implementing MLOps best practices.

Build and optimize machine learning models for 3D dental applications, research state-of-the-art methods, and implement MLOps best practices.