EHR Data Lead

Reposted 8 Days Ago
Be an Early Applicant
Hiring Remotely in USA
Remote
Senior level
Healthtech • Information Technology • Professional Services • Software
The Role
Lead design and build of read/write EHR integrations using FHIR/HL7/C-CDA, deliver clinical notifications into provider workflows, apply AI to extract and route unstructured data, support payer and partner data flows, and implement monitoring, error-handling, and documentation to scale integrations.
Summary Generated by Built In

EHR Data Lead

Chamber Cardio — Where Care Comes Together

About Chamber

Cardiovascular disease is still the leading cause of death in America. At Chamber, we’re rebuilding the system for cardiology — building a world where outcomes, not volume, define success. We partner with independent cardiologists to help them lead population health in their communities, giving them the technology, data, and operational tools to turn complex insights into better care.

Our model blends clinical expertise, thoughtful design, and a modern operating platform that supports physicians, patients, and payers alike. We believe innovation and empathy go hand in hand, and that pairing strong AI tools with a real focus on human care is how we change heart health at scale.

Role Overview

Chamber Cardio is building the connective tissue between our value-based cardiology network and the practices we serve. We're hiring an EHR Data Lead to own how clinical data moves in and out of local practice EHRs — making sure the right notifications, care gaps, and transitions-of-care signals reach providers inside the tools they already use.

Our practice EHRs are a patchwork — some offer clean APIs, some speak HL7/FHIR, some require a VPN login, a portal pull, or a CSV export. You'll meet each one where it is, coordinate with the vendor or practice IT when needed, and get the data flowing.

This is a hands-on, build-it role. You're equally comfortable wrangling an HL7 feed, reasoning about FHIR resources, and finding a pragmatic workaround when a practice's system won't cooperate. You don't need to be a software engineer — but you do need to know EHRs from the inside, move data confidently on your own, and use AI to do the work of three

What You’ll Do

  • Get read and write access into a fragmented set of practice EHRs — via FHIR APIs, HL7 feeds, VPN/remote access, portal pulls, SFTP drops, or CSV exports, whatever the practice's system supports — and land that data where our engineering team can clean, normalize, and model it.

  • Coordinate directly with EHR vendors and practice IT teams to negotiate access, troubleshoot connections, and unblock integrations that don't have an out-of-the-box path — including writing and overseeing Data Transfer Agreements (DTAs) with external providers.

  • Design and ship clinical notifications to practices — GDMT prompts, care gaps, ADT-triggered discharge alerts, and transitions-of-care signals — so they land inside provider workflows, not a separate portal.

  • Do the first-pass mapping of raw patient data from disparate EMR formats toward our standardized target data models, handing off translation-ready data for engineering to finish cleaning and modeling.

  • Apply AI tooling to extract, normalize, and route unstructured clinical data where direct integration isn't possible.

  • Support partner and payer data integrations — ingesting eligibility files, claims, and attribution data, and producing return files, in step with our analytics stack (dbt, attribution logic).

  • Partner with internal engineering on downstream cleaning, normalization, and modeling — your job is getting the data in the door, not owning the data model. Troubleshoot data ingestion errors together and work with database developers to keep our data warehousing running smoothly.

  • Partner across teams — clinical, network, and practice-facing — to translate operational needs into reliable data flows.

  • Build for durability: the monitoring, error-handling, and documentation that keep these integrations dependable as we scale.

  • Ensure strict compliance with HIPAA and data protection laws throughout data transmission and handling.

What You’ll Achieve in Your First 90 Days

By Day 30

  • Get fluent in how Chamber sources, evaluates, and stands up integrations — and get the new practice cohort wired in and ready to build against.

By Day 60

  • Define the integration strategy by choosing which point solutions and EHR-wide partnerships to pursue, with a priority on a master integration agreement with eClinicalWorks, which covers roughly 40% of our practices and offers the greatest opportunity to scale.

By Day 90

  • Establish live read access for transitions of care across 70% of patient coverage, with base integrations built for our larger practices — the foundation everything else will be built on top of.

Requirements

  • 5–7+ years of experience in healthcare technology, EHR implementation, or interoperability

  • A track record getting live data access across multiple ambulatory EHR systems — through APIs, HL7/FHIR, VPN access, portal pulls, or other nonstandard paths

  • Working knowledge of healthcare interoperability standards (FHIR, HL7v2, C-CDA) — enough to use them fluently, not necessarily to have built interface engines from scratch

  • Experience navigating vendor and practice-IT relationships to secure access — you can drive a procurement or coordination conversation, not just a technical one

  • Comfort operating across the spectrum from clean API integrations to scrappy, get-it-working approaches

  • Fluency with clinical and value-based care concepts: eligibility, claims, attribution, transitions of care, and GDMT

  • AI-native and genuinely curious about automation. You can automate yourself into being 3x as effective using SQL, Python, or tools like Claude — and you'll pass a basic coding assessment

  • A pragmatic, ownership-minded approach — you simplify what's overcomplicated, and you ship

  • Working knowledge of HIPAA and data protection requirements as they apply to clinical data transmission and third-party data sharing.

Chamber Values

Our values guide how we lead, collaborate, and care:

  • Low Ego: We stay grounded, curious, and open to feedback.

  • Empathy: We build trust through compassion and thoughtful communication.

  • Courage: We take action, think critically, and challenge ideas respectfully.

  • Ownership: We follow through with integrity and hold ourselves to high standards.

  • Grit: We push through ambiguity, move with urgency, and solve problems with horsepower and heart.

Location

Remote, located in the Eastern or Central time zone. Periodic travel to practice sites or Chamber offices as needed. You must be authorized to work in the U.S. without sponsorship.

Skills Required

  • 5-7+ years experience in healthcare technology, EHR implementation, or interoperability
  • Deep hands-on experience with interoperability standards: FHIR, HL7v2, and C-CDA
  • Track record integrating with multiple EHR systems at the practice or health-system level
  • Comfort operating across spectrum from clean API integrations to scrappy, pragmatic workarounds
  • Fluency with clinical and value-based care concepts: eligibility, claims, attribution, transitions of care, GDMT
  • AI-native with automation skills using SQL, Python, or tools like Claude; able to pass a basic coding assessment
  • Experience applying AI/ML tooling to extract and normalize unstructured clinical data
  • Experience supporting partner and payer data integrations and working with analytics stacks (e.g., dbt, attribution logic)
  • Pragmatic, ownership-minded approach with strong monitoring, error-handling, and documentation practices
  • Remote, located in Eastern or Central time zone (periodic travel to sites/offices as needed)
  • Authorized to work in the U.S. without sponsorship
  • Familiarity or experience integrating with eClinicalWorks is desirable
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The Company
47 Employees
Year Founded: 2022

What We Do

Chamber Cardio is a healthcare platform that provides technology-enabled solutions and support for cardiology practices to transition to value-based care models, aiming to improve patient outcomes and financial performance.

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