Senior Full-Stack Healthcare Software Developer EHR EMR PACS & AI

Varnaa; Vadodara; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Varnaa is seeking an experienced Full-Stack Developer to build healthcare software including EHR/EMR, PACS/DICOM imaging, and AI integration. You will work across frontend, backend, databases, APIs, cloud, and medical imaging systems.

You will develop and maintain full-stack healthcare applications, implement patient charting workflows, and integrate HL7, FHIR, DICOM, and AI models while ensuring secure, scalable cloud services.

Qualifications

• Hands-on development experience in healthcare applications.
• Experience with EHR/EMR development and clinical workflows.

Responsibilities

• Develop and maintain full-stack healthcare applications.

Skills

Full-stack development

Healthcare software

EHR/EMR development

PACS/DICOM imaging

AI integration

React/TypeScript

Node.js/Express

Python REST APIs

PostgreSQL

Docker

AWS

FHIR/HL7

DICOMweb

Imaging post-processing

OpenAI API

Tools

HL7

FHIR

DICOM

PACS systems

Monai

TotalSegmentator

Job description

We are looking for an experienced Full-Stack Developer with strong hands‑on experience in healthcare software development, including EHR/EMR systems, PACS/DICOM imaging, medical image post-processing, clinical charting, and AI integration.

The ideal candidate should understand both healthcare workflows and modern software architecture and be comfortable working across frontend, backend, databases, APIs, cloud infrastructure, and medical imaging systems.

Key Responsibilities

• Develop and maintain full-stack healthcare applications
• Build and improve EHR/EMR modules
• Develop clinical patient charting and documentation workflows
• Build modules for:
• Patient demographics
• Appointments and scheduling
• Encounters
• SOAP/progress notes
• Provider documentation
• Orders
• Medications
• Diagnoses
• Lab and imaging results
• Billing/RCM workflows
• Integrate healthcare systems using HL7, FHIR, APIs, and web services
• Work with PACS and DICOM imaging systems
• Build DICOM upload, transfer, viewing, routing, and study management workflows
• Experience with DICOMweb, C-STORE, C-FIND, C-MOVE, STOW-RS, WADO-RS, or similar technologies
• Integrate imaging viewers and post‑processing tools
• Develop or integrate medical image post‑processing pipelines
• Work with CT/Cardiac imaging workflows where applicable
• Integrate AI/ML models into clinical and imaging workflows
• Create AI‑assisted clinical charting and provider‑review workflows
• Integrate LLMs such as OpenAI or other healthcare AI models
• Build AI‑assisted:
• Chart summaries
• Clinical documentation
• Provider suggestions
• Medical coding assistance
• Imaging analysis workflows
• Report generation
• Ensure AI output remains reviewable and controlled by healthcare professionals
• Build secure APIs and scalable backend services
• Work with cloud infrastructure such as AWS
• Implement secure healthcare data storage and access controls
• Maintain audit logs, role‑based access, and healthcare security standards
• Troubleshoot frontend, backend, database, PACS, and integration issues

Preferred Technical Experience

Strong experience with technologies such as:

Frontend

• React
• TypeScript
• JavaScript
• Next.js or Vite
• Modern UI frameworks

Backend

• Node.js
• Express
• Python
• REST APIs
• WebSockets / Socket.IO

Databases

• PostgreSQL
• MongoDB
• Supabase or similar platforms

Healthcare

• EHR / EMR development
• HL7
• FHIR
• DICOM
• DICOMweb
• PACS
• Orthanc or similar PACS systems
• Clinical documentation/charting workflows

Medical Imaging / Post‑Processing

• CT / CTA / CCTA imaging workflows
• Medical image segmentation
• 3D reconstruction
• Vessel analysis
• MPR / MIP / curved planar reconstruction
• Image post‑processing pipelines
• MONAI, TotalSegmentator, VMTK, SimpleITK, ITK, or similar tools would be a plus

AI Integration

• OpenAI API or similar LLM platforms
• AI‑assisted clinical documentation
• Medical image AI integration
• Model APIs
• Python ML pipelines
• Prompting and structured AI output
• Human‑in‑the‑loop/provider‑review workflows

Cloud / DevOps

• AWS EC2
• S3
• Docker
• Linux
• VPS deployments
• Git/GitHub
• CI/CD

Required Experience

• Strong full‑stack development experience
• Previous experience working with healthcare applications
• Hands‑on EHR/EMR development experience
• Understanding of clinical workflows and patient charting
• Experience with APIs and third‑party healthcare integrations
• Experience with PACS/DICOM or medical imaging systems is highly preferred
• Good understanding of healthcare data privacy and security
• Ability to independently troubleshoot complex systems

Highly Preferred

Candidates with experience in one or more of the following will be strongly preferred:

• Cardiology software
• Radiology software
• CCTA/Cardiac CT
• PACS integrations
• Medical image post‑processing
• AI‑assisted clinical documentation
• AI medical imaging
• Revenue Cycle Management / medical billing systems
• Building healthcare platforms from the ground up

What We Are Looking For

We are looking for someone who is not only a web developer but understands how different healthcare technologies work together.

The developer should be comfortable working across:

EHR/EMR + Clinical Charting + PACS/DICOM + Medical Imaging + Post‑Processing + AI + Cloud Infrastructure

This role is ideal for someone interested in building advanced next‑generation healthcare technology.