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Remote EHR Architecture Consultant Scalable Health Data

Remote / Online - Candidates ideally in
New York, New York County, New York, 10261, USA
Listing for: alt Inc
Full Time, Part Time, Remote/Work from Home position
Listed on 2026-11-04
Job specializations:
  • IT/Tech
Salary/Wage Range or Industry Benchmark: 120000 - 180000 USD Yearly USD 120000.00 180000.00 YEAR
Job Description & How to Apply Below

Please navigate to our new careers page.About Alpaca Health

Alpaca Health empowers autism care providers to deliver the highest quality ABA services. We fully manage non-clinical administrative functions — scheduling, intake, billing, documentation, claims, and more — so providers at Alpaca-powered clinics can focus entirely on clinical care.

We’re growing quickly and well-capitalized, having raised $4M+ from leading VCs like Adverb Ventures and South Park Commons. We have grown quickly from 0 to over 1M in annual run rate and over 5M in GMV in just a few months.

Your Role

We’re looking for an experienced EHR Platform Architecture Consultant to partner with our engineering leadership on a short-term, high-impact engagement. Your mission: audit Alpaca’s existing EHR architecture and data model, identify bottlenecks, and propose foundational improvements that unlock long-term scalability.

In this role, you will:

Deeply understand Alpaca’s domain
  • Review how ABA clinics operate across scheduling, clinical documentation, data collection, billing, EVV, and claims.

  • Understand how our platform supports these workflows today — and where breakdowns occur.

Audit our EHR and data models end-to-end
  • Evaluate our current domain models (appointments, session notes, treatment plans, pay periods, claims, etc.) across Python + MongoDB.

  • Analyze schema design, document relationships, indexing strategy, event flow, and consistency across modules.

  • Assess compliance-related needs (audit logs, versioning, PHI boundaries, RBAC).

Identify and prioritize high-impact improvements
  • Recommend architectural changes to improve reliability, correctness, and long-term extensibility.

  • Flag structural issues that may cause future problems (e.g., ledger consistency, document bloat, inconsistent time-zone handling, overly coupled modules).

  • Prioritize changes by business impact, engineering risk, and implementation complexity.

Advise us on future-proof health data architecture
  • Provide guidance on whether and how to incorporate FHIR resources or Medplum-style abstractions.

  • Suggest patterns for versioning clinical documents, supporting note signing, and unifying scheduling + billing + clinical domains.

  • Review our LLM-driven workflows and recommend safer patterns for auditability and correctness.

Partner directly with founders and engineers
  • Work directly with our CTO and engineering team.

  • Deliver clear written recommendations, diagrams, and migration paths.

  • Optionally advise during implementation as we execute your recommendations.

This engagement does not require hands-on coding — but does require extremely deep architectural and EHR expertise.

Why This Role Matters

As Alpaca accelerates, we need a strong architectural foundation to support:

  • complex ABA-specific scheduling logic

  • real-time clinical data collection

  • LLM-powered documentation

  • EVV-compliant visit tracking

  • claim generation and revenue cycles

  • payroll and payout systems

  • multi-clinic scalability and data isolation

Your work will set the trajectory of Alpaca’s platform for years.

Who We’re Looking For

You may be a fit if you:

  • Have deep experience designing or auditing EHRs (Epic, Athena, Simple Practice, Rethink, Medplum, etc.)

  • Understand healthcare data models, particularly structured clinical documentation, audit trails, and insurance workflows.

  • Have strong opinions on schema design, normalization vs denormalization, event models, and domain boundaries.

  • Comfortably evaluate systems across MongoDB, Python, cloud architectures, and LLM-driven workflows.

  • Can translate messy real-world clinical workflows into clean, extensible domain models.

  • Communicate clearly and produce high-quality architectural documents.

Engagement Structure
  • Contract / Consultant (short-term or part-time)

  • Remote or NYC-based

  • Duration: 2–6 weeks, depending on depth

  • Deliverables:

    • Architecture audit

    • Data model audit

    • Prioritized recommendations

    • Migration / refactor roadmap

    • Optional implementation advisory

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