Top Remote Healthtech Jobs in Miami, FL

Senior individual-contributor analyst leading end-to-end, high-stakes analyses, designing dashboards and reporting, mentoring analysts, applying statistical methods and causal inference, partnering with analytics engineering to shape warehouse models, and translating findings for technical and non-technical stakeholders.

Owns the strategy, prioritization, requirements, launch, adoption, and continuous improvement of AI-enabled products. Translates ambiguous healthcare, clinical, operational, and business needs into product roadmaps, PRDs, KPIs, and execution plans. Partners with engineering, data, security, compliance, legal, clinical, and operations teams to deliver responsible, secure, compliant, and measurable AI solutions.

Build and ship production AI capabilities using AWS Bedrock, including clinical document extraction, summarization, retrieval, decision support, and workflow automation. Develop Python and FastAPI applications, integrations, tests, CI gates, and evaluation systems. Work with healthcare data standards, PHI, AWS, MySQL, and server-rendered front ends. Use and verify AI coding tools while communicating tradeoffs clearly in a remote, Linux-based environment.

Leads DLH’s government contracting pricing function, developing competitive pricing strategies, cost models, rate structures, Price-to-Win analyses, and proposal cost volumes. Advises executives on bid decisions, profitability, risk, and compliance with FAR, DFARS, and estimating system requirements. Manages and develops a pricing team while partnering with Finance, Contracts, Growth, Capture, Program, and Operations leaders across complex federal procurements.

Create high-quality visual designs for digital, social, print, web, advertising, presentations, and marketing campaigns. Develop brand-consistent visual systems and collateral across consumer, corporate, and B2B projects. Collaborate with marketing, brand, content, UX, product, and engineering teams, present design concepts, and contribute to Verily’s evolving design language.

Lead the vision, roadmap, discovery, and delivery of AI-enabled analytics products for nursing and medical education. Translate customer and business needs into product strategies, prioritize backlogs, guide cross-functional teams, and measure adoption, usability, customer impact, and business outcomes. Champion responsible AI practices involving quality, privacy, transparency, and trust while using customer feedback and product data to continuously improve products.

Build and maintain full-stack data engineering solutions supporting BioIntelliSense’s remote patient monitoring and clinical intelligence platform. The role likely involves processing health-monitoring data, enabling analytics, and supporting reporting for clinicians, patients, and employers. Specific responsibilities and qualifications are not provided in the description.

Analyzes business requirements, processes, and workflows to define technology solutions. Performs functional analysis, application configuration, prototyping, specifications, data mapping, testing, security setup, documentation, interface design, migration, and reconciliation. Identifies and resolves process gaps, supports system modifications, and develops light-programming workarounds. The role may lead complex projects, manage vendors and stakeholders, and design UKG integrations using Boomi.

Lead organic social strategy and execution for Nutrafol and Nutrafol Men, developing platform-native content, managing community and creators, partnering cross-functionally on campaigns, optimizing performance through analytics, and managing budgets and production to drive brand awareness and business impact.

Administer AWS cloud infrastructure, analytics and AI/ML workloads, and Tableau deployments in HIPAA-compliant environments. Lead cloud migrations, infrastructure automation, CI/CD, reliability, security, monitoring, networking, and cost optimization across cloud and hybrid environments. Collaborate with architects, engineers, security teams, and suppliers while researching technologies, reducing operational toil, mentoring colleagues, and establishing cloud engineering standards.