Hiring across engineering & consulting

Build AI That Improves Healthcare.

Zabrizon builds HIPAA-compliant, FHIR-native AI for payers, providers, life sciences, and MedTech companies. We're a small, focused team — and we're looking for people who want to go deep on healthcare AI, not apply generic tools to a complex domain.

A note on who we are: Zabrizon was founded in 2024. We're not a large enterprise — we're a focused team building something meaningful in healthcare AI. The roles below are a mix of full-time and contract/freelance positions. If you want to shape something from early on and care about healthcare, we should talk.

Why Zabrizon

What makes working here different from a generic AI or tech company

Work That Actually Matters

The AI you build at Zabrizon touches real clinical workflows — reducing physician burnout, cutting prior auth delays, and helping patients get the right care faster.

Deep Healthcare Domain

You'll develop rare expertise at the intersection of AI and healthcare — FHIR, clinical NLP, HIPAA, EHR integrations — skills that are genuinely hard to find and highly valued.

Compliance-First Culture

We take HIPAA, data integrity, and clinical safety seriously. You'll build with the rigour that healthcare demands — and develop an appreciation for why that rigour matters.

Early-Stage Impact

Zabrizon is a new company. You'll help shape how we build, what we build, and who we work with — not inherit decisions made years before you arrived.

Remote & Async-First

Work from wherever you do your best thinking. We care about the quality of your output, not the hours you're online.

Open Roles

Full-time, contract, and freelance — remote across all positions

Healthcare AI Engineer

Engineering
RemoteFull-time / Contract3+ years

Build production-grade AI and ML systems for healthcare payers, providers, and MedTech companies. You'll design pipelines, fine-tune clinical LLMs, and deploy models that touch real clinical workflows — with HIPAA compliance and EHR integration as first-class concerns.

Python
PyTorch / TensorFlow
Clinical LLMs
FHIR R4
MLOps
AWS / Azure / GCP
HIPAA environments
Docker / Kubernetes

Clinical NLP & ML Engineer

Engineering
RemoteFull-time / Contract3+ years

Develop NLP models that extract clinical meaning from unstructured EHR text — ICD-10/CPT coding, prior auth document review, ambient documentation, and PHI de-identification. You understand clinical language and can build models clinicians trust.

Clinical NLP
BioBERT / ClinicalBERT
spaCy / Hugging Face
ICD-10/CPT coding
EHR data
de-identification
Python
OMOP / SNOMED / LOINC

FHIR & Interoperability Engineer

Engineering
RemoteContract2+ years

Design and build FHIR R4/R5 APIs, HL7 integration engines, and health data exchange solutions that connect EHRs, payer systems, and health networks. You know SMART on FHIR, Da Vinci IGs, and TEFCA — not just in theory.

FHIR R4/R5
HL7 v2
SMART on FHIR
Da Vinci IGs
X12 EDI
Epic / Cerner APIs
Mirth Connect
Node.js / Python

Healthcare Data Engineer

Data
RemoteContract3+ years

Build FHIR-native data lakes, OMOP CDM pipelines, and AI-ready feature stores for healthcare clients. You care about data quality, clinical data standardisation, and building infrastructure that data scientists can actually use.

FHIR data pipelines
OMOP CDM
Apache Spark / dbt
Databricks / Snowflake
Python
AWS / Azure
data governance
clinical data modelling

Healthcare AI Solutions Consultant

Client Delivery
RemoteFreelance4+ years

Work with Zabrizon's clients — payers, health systems, life sciences companies — to scope AI projects, run discovery workshops, and translate clinical requirements into technical solutions. You bridge the gap between clinical domain expertise and AI engineering.

Healthcare domain expertise
Clinical workflows
AI project scoping
HIPAA / HL7 / FHIR literacy
Stakeholder management
Solution architecture
Payer or provider operations
Data analysis

How We Work

The principles we hold onto, especially when healthcare complexity pushes back

Clinical accuracy over speed

Healthcare AI that's wrong doesn't just waste time — it can cause harm. We validate carefully, test with clinical input, and never ship something we don't trust.

Compliance is not an afterthought

HIPAA, FHIR conformance, PHI handling — these aren't boxes we check at the end. They're designed in from the first line of code.

Deep domain, not generic AI

Generic LLMs applied to healthcare produce generic results. We go deep on the specific clinical, operational, and regulatory context of each problem we solve.

Honest about what we don't know

Healthcare is complex. We'd rather tell a client we need to learn more than oversell and under-deliver. Intellectual honesty builds trust that lasts.

Don't see the right role?

We're Always Interested in Strong Healthcare AI Talent.

If you have deep healthcare domain knowledge and strong AI or engineering skills, send us a short note — even if nothing above fits. We'd rather have the conversation now than miss a great match.