Staff Software Engineer, Data Extraction

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🕒 Junho 12

🗽 New York – Remoto

🗽 New York – Remote

💵 $210.000 - $240.000 / ano

⏰ Tempo Integral

🔴 Especialista

🧑‍💻 Engenheiro Full-stack

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Pivotal Health

SiteLinkedInTodas as Vagas

51 - 200 funcionários

🏥 Saúde

💼 Consultoria

📦 Logística

💰 Pre seed em 2024-01

Healthcare • Consulting • Logistics

A Pivotal Health é uma empresa de tecnologia em saúde que oferece a única plataforma de Resolução Independente de Conflitos (IDR) completa do setor, combinando software, dados e serviços premium para ajudar os provedores a obter um reembolso justo dos pagadores. Sua plataforma escalável e integrada SaaS automatiza os fluxos de trabalho de IDR, conecta-se com os principais sistemas de gerenciamento de ciclo de receita e gerencia elegibilidade, submissões e apelações em nome das organizações de provedores. A Pivotal Health atende hospitais e práticas especializadas com um modelo de negócios orientado por resultados e alinhado aos resultados (pagamento após o sucesso do cliente) e enfatiza a transparência, alta retenção de clientes e recuperação de receita mensurável.

Descrição

• Own clinical data extraction architecture. Design and evolve the systems that ingest, process, and normalize structured and unstructured clinical data from multiple healthcare sources. • Build document intelligence pipelines. Develop services that extract meaningful information from PDFs, scanned records, images, and clinical documentation. • Lead healthcare data modeling efforts. Create approaches for transforming raw clinical artifacts into structured, queryable datasets. • Develop scalable ingestion services. Design resilient systems capable of processing large volumes of healthcare records with high reliability and accuracy. • Build scalable data extraction systems. Leverage the best available technologies and architectural approaches to improve information extraction, classification, and normalization across diverse healthcare data sources. • Establish data quality standards. Create validation frameworks, monitoring systems, and feedback loops that improve extraction accuracy over time. • Influence and collaborate across clinical, product, engineering, data, and operational domains: Driving alignment on business objectives and translating them into technical systems that support provider evidence generation. • Drive technical strategy for unstructured healthcare data. Evaluate technologies, standards, and architectural approaches that accelerate clinical data adoption. • Mentor engineers across the organization. Raise engineering standards through design reviews, technical leadership, and hands-on collaboration.

🎯 Requisitos

• 8+ years building backend software systems in production environments. • Experience with healthcare data standards such as HL7, FHIR, CDA, or EHR integrations. • Familiarity with medical records, claims, or healthcare operations. • Experience designing large-scale data processing or document processing platforms, specifically working with clinical data - familiarity with medical terminology/coding practices. • Strong proficiency in Python and SQL, or similar backend languages. • Experience working with unstructured data and NLP systems. • Proven ability to design systems that operate reliably across imperfect or incomplete datasets. • Experience making architectural decisions that influence multiple teams or business functions. • Comfortable operating in ambiguous environments where requirements evolve as the business learns. • Demonstrated bias toward ownership and delivering outcomes rather than simply completing tickets.

🏖️ Benefícios

• Competitive compensation, including equity • Full health, dental, and vision coverage • Retirement savings plan through 401(k) • Flexible time off • Opportunities for company-wide connection and events