Staff Software Engineer, Data Extraction

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🔥 0 minutes ago

🗽 New York – Remote

🗽 New York – Remote

💵 $210k - $240k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

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Pivotal Health

WebsiteLinkedInAll Job Openings

51 - 200 employees

⚕️ Healthcare Insurance

☁️ SaaS

🤝 B2B

💰 Pre seed on 2024-01

Healthcare Insurance • SaaS • B2B

Pivotal Health is a healthcare technology company that provides the industry’s only full-service Independent Dispute Resolution (IDR) platform, combining software, data, and white-glove services to help providers secure fair reimbursement from payers. Their scalable, integrated SaaS platform automates IDR workflows, connects with major revenue cycle management systems, and manages eligibility, submissions, and appeals on behalf of provider organizations. Pivotal Health serves hospitals and specialty practices with a results-driven, outcome-aligned business model (paid after client success) and emphasizes transparency, high client retention, and measurable revenue recovery.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• 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