Job Description

About the Role  

We are seeking a Software Architect to design, develop, and lead the architecture of a modern clinical trials platform. This system will integrate directly with EMRs/EHRs, receive and normalize clinical data from multiple sources (HL7, FHIR, CCD, and APIs), standardize coded clinical information (ICD-10, SNOMED, LOINC), and support automated downstream decision and workflow engines. 

You will define the architectural direction for secure integrations, ingestion pipelines, clinical data models, and event-driven processing. This role is both highly strategic and hands-on, partnering closely with engineering, data, and clinical informatics teams to build a scalable, compliant platform used across diverse healthcare environments. 

Salary Range: $150-$180k

Key Responsibilities  

System Architecture & Platform Design 

• Architect end-to-end systems for ingesting, normalizing, and operationalizing clinical data. 
• Create scalable, fault-tolerant service architectures using microservices, event-driven patterns, or modular domain-driven design. 
• Produce architectural diagrams, integration patterns, data models, and API standards. 
• Define platform-wide guidelines for service decomposition, state management, data contracts, and code quality. 

EMR Integrations & Clinical Data Ingestion 

• Architect and implement secure, compliant EMR/EHR integrations using: 
• HL7 v2 (ADT, ORU, ORM, SIU, custom Z-segments) 
• FHIR R4 resources and RESTful APIs 
• CCD / C-CDA documents 
• Vendor interfaces (Epic, Cerner, Athenahealth, Meditech, etc.) 
• Build ingestion pipelines for pathology, radiology, diagnostic data, labs, medications, problems, encounters, and other clinical artifacts. 
• Normalize and standardize data using clinical coding systems, including: 
• ICD-10 
• SNOMED CT 
• LOINC 
• RxNorm 
• Implement clinical data validation, deduplication, reconciliation, and identity matching. 

Interoperability & Integration Framework 

• Design reusable interoperability frameworks for onboarding new health systems. 
• Establish secure communication channels (VPN, SFTP, APIs, FHIR Subscriptions, eventing). 
• Ensure alignment with HIPAA, SOC2, HITRUST, and enterprise privacy/security policies. 
• Define repeatable onboarding patterns for rapid integration with hospital IT teams. 

Application & Backend Development 

• Build core backend services using modern application frameworks (Java/Kotlin, Go, Python, etc.). 
• Develop APIs and event-driven microservices for data ingestion, normalization, storage, and downstream workflows. 
• Optimize system performance with caching, concurrency, streaming, and resilience patterns. 
• Provide hands-on engineering, code review, and mentorship to the development team. 

Data Architecture & Storage Design 

• Define operational schemas for patient demographics, encounters, clinical observations, diagnostic results, and provider data. 
• Partner with data engineering teams on schema design, warehouse patterns, and lineage. 
• Create separation layers between real-time ingestion, normalized stores, and analytical datasets. 
• Ensure data integrity, primary/foreign key mappings, ICD/SNOMED/LOINC code handling, and longitudinal patient histories. 

Quality, Security, & Compliance 

• Implement architectural patterns for encrypted PHI handling, IAM policies, access controls, and audit trails. 
• Establish automated testing strategies: contract tests, schema tests, integration tests, and workflow validation. 
• Ensure the platform meets healthcare compliance and interoperability expectations across diverse clients. 

Required Qualifications  

Experience in Healthcare Application Architecture 

• 5+ years as a software architect or senior engineer designing distributed platforms. 
• Demonstrated experience with EMR/EHR integrations (HL7, FHIR, CCD, or vendor APIs). 
• Understanding of clinical data structures, patient-centric workflows, and healthcare interoperability standards. 

Technical Expertise 

• Proficiency in one or more backend languages: Java/Kotlin, Python, Go, etc. 
• Experience with event-driven systems (Pub/Sub, Kafka, SNS/SQS, or similar). 
• Strong understanding of cloud platforms (GCP preferred; AWS or Azure acceptable). 
• Experience with operational and NoSQL databases for structured and semi-structured healthcare data. 

Interoperability & Clinical Data Knowledge 

• Hands-on experience with HL7 v2 message structures and FHIR resources 
• Understanding of coded clinical systems, including ICD-10, SNOMED CT, LOINC, and RxNorm. 

Architecture & Development Skills 

• Deep understanding of system design, API architecture, and microservices. 
• Ability to build scalable, high-availability systems. 
• Strong foundation in CI/CD, DevOps practices, infrastructure-as-code, and observability. 

Bonus Skills (Preferred but Not Required)  

• Experience with workflow engines 
• Familiarity with AI/ML models for clinical text processing or structured data interpretation. 
• Experience with GCP analytics tools (BigQuery, Dataflow, Dataform/dbt/Sqlmesh). 
• Background in pathology, radiology, or structured and unstructured clinical document processing.
• Experience building healthcare SaaS platforms. 

Why Join Us?  

• Architect a modern clinical data platform used across large healthcare systems. 
• Work at the intersection of interoperability, cloud architecture, and real-world clinical data. 
• Collaborate with engineering, clinical informatics, and data teams to build mission-critical healthcare technology. 
• Work with modern, cloud-native tools in a fully remote environment with high autonomy and ownership. 
• Fully remote opportunity with a high-impact role. 

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