Staff Software Engineer, Data Extraction

This is a fully remote position, open to applicants in New York.

📋 Description

• Take ownership of the architecture for clinical data extraction. Design and enhance systems that gather, process, and standardize both structured and unstructured clinical data from various healthcare sources.

• Develop document intelligence pipelines. Create services that extract valuable information from PDFs, scanned documents, images, and clinical records.

• Lead initiatives in healthcare data modeling. Formulate strategies for converting raw clinical artifacts into structured, queryable datasets.

• Create scalable ingestion services. Design robust systems capable of processing substantial volumes of healthcare records with high accuracy and reliability.

• Construct scalable data extraction systems. Utilize the best available technologies and architectural methods to enhance information extraction, classification, and normalization across a variety of healthcare data sources.

• Set data quality standards. Develop validation frameworks, monitoring systems, and feedback mechanisms that enhance extraction accuracy over time.

• Collaborate and influence across clinical, product, engineering, data, and operational domains: Aligning on business objectives and translating them into technical systems that facilitate provider evidence generation.

• Spearhead technical strategy for unstructured healthcare data. Assess technologies, standards, and architectural strategies that expedite the adoption of clinical data.

• Mentor engineers throughout the organization. Elevate engineering standards through design reviews, technical leadership, and collaborative efforts.

⛳️ Requirements

• 8+ years of experience in building backend software systems within production settings.

• Proficiency with healthcare data standards such as HL7, FHIR, CDA, or EHR integrations.

• Understanding of medical records, claims, or healthcare operations.

• Experience in designing large-scale data processing or document processing platforms, particularly involving clinical data - familiarity with medical terminology and coding practices.

• Strong expertise in Python and SQL, or comparable backend programming languages.

• Experience with unstructured data and NLP systems.

• Proven track record of designing systems that function reliably with imperfect or incomplete datasets.

• Experience in making architectural decisions that impact multiple teams or business functions.

• Comfortable navigating ambiguous situations where requirements adapt as the business evolves.

• Demonstrated commitment to ownership and achieving results rather than merely completing tasks.

🏝️ Benefits

• Competitive compensation, including equity.

• Comprehensive health, dental, and vision insurance.

• Retirement savings plan through 401(k).

• Flexible time off.

• Opportunities for company-wide connection and events.