9+ HL7 Jobs in India
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JOB DETAILS:
* Job Title: Principal Data Scientist
* Industry: Healthcare
* Salary: Best in Industry
* Experience: 6-10 years
* Location: Bengaluru
Preferred Skills: Generative AI, NLP & ASR, Transformer Models, Cloud Deployment, MLOps
Criteria:
- Candidate must have 7+ years of experience in ML, Generative AI, NLP, ASR, and LLMs (preferably healthcare).
- Candidate must have strong Python skills with hands-on experience in PyTorch/TensorFlow and transformer model fine-tuning.
- Candidate must have experience deploying scalable AI solutions on AWS/Azure/GCP with MLOps, Docker, and Kubernetes.
- Candidate must have hands-on experience with LangChain, OpenAI APIs, vector databases, and RAG architectures.
- Candidate must have experience integrating AI with EHR/EMR systems, ensuring HIPAA/HL7/FHIR compliance, and leading AI initiatives.
Job Description
Principal Data Scientist
(Healthcare AI | ASR | LLM | NLP | Cloud | Agentic AI)
Job Details
- Designation: Principal Data Scientist (Healthcare AI, ASR, LLM, NLP, Cloud, Agentic AI)
- Location: Hebbal Ring Road, Bengaluru
- Work Mode: Work from Office
- Shift: Day Shift
- Reporting To: SVP
- Compensation: Best in the industry (for suitable candidates)
Educational Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field
- Technical certifications in AI/ML, NLP, or Cloud Computing are an added advantage
Experience Required
- 7+ years of experience solving real-world problems using:
- Natural Language Processing (NLP)
- Automatic Speech Recognition (ASR)
- Large Language Models (LLMs)
- Machine Learning (ML)
- Preferably within the healthcare domain
- Experience in Agentic AI, cloud deployments, and fine-tuning transformer-based models is highly desirable
Role Overview
This position is part of company, a healthcare division of Focus Group specializing in medical coding and scribing.
We are building a suite of AI-powered, state-of-the-art web and mobile solutions designed to:
- Reduce administrative burden in EMR data entry
- Improve provider satisfaction and productivity
- Enhance quality of care and patient outcomes
Our solutions combine cutting-edge AI technologies with live scribing services to streamline clinical workflows and strengthen clinical decision-making.
The Principal Data Scientist will lead the design, development, and deployment of cognitive AI solutions, including advanced speech and text analytics for healthcare applications. The role demands deep expertise in generative AI, classical ML, deep learning, cloud deployments, and agentic AI frameworks.
Key Responsibilities
AI Strategy & Solution Development
- Define and develop AI-driven solutions for speech recognition, text processing, and conversational AI
- Research and implement transformer-based models (Whisper, LLaMA, GPT, T5, BERT, etc.) for speech-to-text, medical summarization, and clinical documentation
- Develop and integrate Agentic AI frameworks enabling multi-agent collaboration
- Design scalable, reusable, and production-ready AI frameworks for speech and text analytics
Model Development & Optimization
- Fine-tune, train, and optimize large-scale NLP and ASR models
- Develop and optimize ML algorithms for speech, text, and structured healthcare data
- Conduct rigorous testing and validation to ensure high clinical accuracy and performance
- Continuously evaluate and enhance model efficiency and reliability
Cloud & MLOps Implementation
- Architect and deploy AI models on AWS, Azure, or GCP
- Deploy and manage models using containerization, Kubernetes, and serverless architectures
- Design and implement robust MLOps strategies for lifecycle management
Integration & Compliance
- Ensure compliance with healthcare standards such as HIPAA, HL7, and FHIR
- Integrate AI systems with EHR/EMR platforms
- Implement ethical AI practices, regulatory compliance, and bias mitigation techniques
Collaboration & Leadership
- Work closely with business analysts, healthcare professionals, software engineers, and ML engineers
- Implement LangChain, OpenAI APIs, vector databases (Pinecone, FAISS, Weaviate), and RAG architectures
- Mentor and lead junior data scientists and engineers
- Contribute to AI research, publications, patents, and long-term AI strategy
Required Skills & Competencies
- Expertise in Machine Learning, Deep Learning, and Generative AI
- Strong Python programming skills
- Hands-on experience with PyTorch and TensorFlow
- Experience fine-tuning transformer-based LLMs (GPT, BERT, T5, LLaMA, etc.)
- Familiarity with ASR models (Whisper, Canary, wav2vec, DeepSpeech)
- Experience with text embeddings and vector databases
- Proficiency in cloud platforms (AWS, Azure, GCP)
- Experience with LangChain, OpenAI APIs, and RAG architectures
- Knowledge of agentic AI frameworks and reinforcement learning
- Familiarity with Docker, Kubernetes, and MLOps best practices
- Understanding of FHIR, HL7, HIPAA, and healthcare system integrations
- Strong communication, collaboration, and mentoring skills
The Role
Working in our Integrations Engineering team, you’ll play a key role in building products for healthcare . You’ll design and implement integrations with EMRs/EHRs and healthcare APIs, ensuring our technology fits seamlessly into clinical workflows.
What You’ll Do
- Build and maintain integrations between our products and healthcare systems, following interoperability standards like HL7, FHIR, SMART on FHIR.
- Extend Azure Health Data Services (AHDS) enabling conformance with Australian FHIR standards.
- Work with APIs and distributed systems that power product core features, ensuring performance, security, and scalability.
- Improve the reliability and accuracy of data pipelines.
- Champion best practices for building robust, maintainable systems in healthcare contexts.
What We’re Looking For
- 5+ years of professional software engineering experience.
- Prior experience integrating with healthcare systems (Cliniko, Halaxy, MediRecords, Epic, Cerner, athenahealth, Meditech, etc.).
- Familiarity with healthcare interoperability standards (FHIR, HL7, SMART on FHIR, etc.).
- Proficiency in a prominent programming language such as Python, C++, Rust, C#, Java, Javascript, Typescript etc., with experience building APIs and backend services (preferably with FastAPI).
- Experience working with datastores such as MongoDB and Redis
- Experience with integration design, including RESTful APIs, authentication/authorization (OAuth2, OpenID Connect), and event-driven systems.
Bonus points
- Previous experience in digital health startups or companies building EHR/EMR solutions.
- Knowledge of medical terminology or curiosity about speech-to-text systems.
- Full-stack experience with backend services (Python, FastAPI) and frontend frameworks (React.js) is a plus.
- Passion for improving healthcare and clinician experience.
Job Title: QA Engineer – ETL & HL7 (Data Pipeline QA) Location: Remote – India (UK Working Hours)
Job Type: Full-Time Company: BigRio
About BigRio:
BigRio is a remote-based, technology consulting firm headquartered in Boston, MA. We specialize in delivering advanced software solutions that include custom development, cloud data platforms, AI/ML integrations, and data analytics. With a diverse portfolio of clients
across industries such as healthcare, biotech, fintech, and more, BigRio offers the opportunity to work on cutting-edge projects with a team of top-tier professionals.
Job Description:
We are seeking a highly skilled and detail-oriented QA Engineer with strong experience in ETL testing and HL7 validation to join our growing data engineering team. This role will focus on data pipeline testing, ensuring data accuracy, quality, and integrity as it moves
across systems and services in a healthcare-focused environment.
Key Responsibilities:
· Design, develop, and execute test plans and test cases for ETL processes and data pipelines.
· Validate data transformations, data integrity, and completeness across source and target systems.
· Conduct end-to-end testing of HL7 messages and healthcare data flows.
· Collaborate with developers, data engineers, and stakeholders to define test strategies and identify issues.
· Automate QA processes wherever feasible using appropriate scripting and tools.
· Perform root cause analysis and ensure timely defect resolution.
· Ensure compliance with data quality standards and healthcare regulations.
Required Qualifications:
· 4+ years of experience in QA with a focus on ETL/data pipeline testing.
· Hands-on experience with HL7 message formats and healthcare data exchange.
· Strong understanding of data warehousing concepts, data mapping, and validation techniques.
· Proficient in writing complex SQL queries for data validation.
· Experience working with large datasets in a cloud or hybrid environment.
· Familiarity with QA automation tools is a plus (e.g., PyTest, Selenium, JMeter).
· Strong communication and documentation skills.
Nice to Have:
· Experience with cloud data platforms like AWS, Azure, or GCP.
· Prior experience in the healthcare or life sciences domain.
· Knowledge of FHIR standards or healthcare interoperability.

Global product development and platform engineering company
Hi,
This is Prashant, a Senior Recruiter from Triunity Software Inc. a leading staffing organization.
Title: Staff Software Engineer with Cloud & Healthcare Experience (Need Local Candidates)
Job Location: Hyderabad, India, Hybrid with 3-days a week at our Offshore location
Job Summary:
Responsible for full stack software definition, development and maintenance for cloud-based software applications used in healthcare. Specifically, responsible for all external interfaces with the cloud applications. Work closely with the Cloud Engineering team, Project leaders to define requirements, develop code and conduct unit and system-level tests for the software you develop.
Job Responsibilities (but not limited to):
· Work closely with Cloud Engineering team members in architecting and designing cloud- based solutions.
· Ultrasound DICOM and Electronic Medical Record (EMR) interfaces.
· OAuth and Single Sign-on (SSO) interfaces with cloud applications.
· Workflow engine that automates and manages workflows in the applications.
· Assist in the architecture, design, and deployment of the full stack product.
· Build software that meets HIPAA and Cybersecurity requirements for medical products.
· Be part of a small, cross-functional product team working alongside product managers, design engineers, clinical engineers and software engineers.
· Meet all Quality Management System (QMS) requirements for design, development, testing and product release.
Minimum Education/Experience:
· Bachelor’s degree in computer science or Equivalent
· 10+ years of software development experience with Python, Django and TypeScript/JavaScript.
· Experience with Terraform, CI/CD and AWS.
· Familiarity with medical imaging and interface protocols used in healthcare including DICOM, HL7, FIHR, LDAP and Single Sign-on (SSO) if preferable.
Thanks & Regards
Prashant Rathore |Sr.IT Recruiter| Triunity Software Inc.
Knowledge on Model to Code Generation
Ability to work independently, with minimal training and direct guidance
Ability to respond to customer inquiries quickly
Ability to quickly modify/setup routes
Familiarity with Rhapsody Secure transmission protocols (e.g. Secure File Transfer (SFT) and Secure Object Access Protocol (SOAP) routes process, etc.
Prior experience with protocols like OSLC, SOAP and REST APIs
Ability to identify and resolve exceptions with electronic data exchange between EMR data submitters, and data recipients.
Knowledge of HL7/XML/FHIR/EDI standards
Strong in building JUnit tests during development
Greetings..
We have requirement for Integration Specialist/Implementation specialist/Technologist.
Location: Navi Mumbai(base)
ready to travel to US for project work
We have Multiple requirements for the US project
The candidate should have B1/B2 visa
Ready to relocate to Mumbai
Should have experience either on Hyper V or HL7 or Pacs
Introduction
http://www.synapsica.com/">Synapsica is a https://yourstory.com/2021/06/funding-alert-synapsica-healthcare-ivycap-ventures-endiya-partners/">series-A funded HealthTech startup founded by alumni from IIT Kharagpur, AIIMS New Delhi, and IIM Ahmedabad. We believe healthcare needs to be transparent and objective while being affordable. Every patient has the right to know exactly what is happening in their bodies and they don't have to rely on cryptic 2 liners given to them as a diagnosis.
Towards this aim, we are building an artificial intelligence enabled cloud based platform to analyse medical images and create v2.0 of advanced radiology reporting. We are backed by IvyCap, Endia Partners, YCombinator and other investors from India, US, and Japan. We are proud to have GE and The Spinal Kinetics as our partners. Here’s a small sample of what we’re building: https://www.youtube.com/watch?v=FR6a94Tqqls">https://www.youtube.com/watch?v=FR6a94Tqqls
Your Roles and Responsibilities
The Integration Software Manager is responsible for building products which integrate Synapsica AI based radiology software products with client side systems and horizontal app deployment platforms. The Integration Software Manager works with clients, product managers, internal software team and business development team to design and build products which allow Synapsica apps to integrate with external systems. The Integration Software Manager works with a team of engineers to build these products and owns the end-to-end delivery. The role requires understanding of various technologies and ability to quickly learn and execute development plans with new technologies. At Synapsica, we have used Javascript, React, Nodejs, Mongodb, Python, Dicom, HL7, AWS suite technologies to name a few.
This is a highly visible role working directly with founders and requires a mix of technical acumen and team leadership skills to drive the execution of the platform. This person must be creative, ask questions, and be comfortable challenging the status quo. The position is based in our Bangalore office.
Primary Responsibilities
- Work at a key intersection between customers, AI team, product engineering teams, and business development teams
- Partner cross-functionally with product managers, core platform engineers, and AI team to improve adoption of our applications
- Build modules that help onboard new customers onto our radiology platform
- Own end-to-end designing, documentation, development and delivery of softwares that enable clients to use our radiology products effectively
- Ensure analysis, efficiency, responsiveness, scalability and cross-platform compatibility of applications through captured metrics, testing frameworks, and debugging methodologies.
- Technical documentation through all stages of development
- Create design, develop modules, and coordinate efforts with the development team, working on application architectural implementation
- Collaborate with Product Analysts and Product Managers to estimate and plan work and provide status updates to stakeholders
- Create a close working relationship with business partners to identify the pain points and provide better experience to clients
- Establish strong relationships, and proactively communicate, with team members as well as individuals across the organisation
Requirements
- Degree in Computer Science or related discipline with 6-10 years of experience.
- Proficiency with server side languages such as Nodejs, Python, shell scripting
- Quick adoption of new technologies .
- Proficiency with at least one no-sql database such as MongoDB.
- Experience with platform components and REST APIs, to define platform interfaces and boundaries
- Experience creating a loosely coupled, services oriented design that can scale for large volumes of data
- Experience supporting extensibility, to plug new modules or services without requiring re-design
- Expertise in object oriented programming and applying OO principles patterns
- Good command over CI/CD processes.
- Excellent communication and collaboration skills with project members and stakeholders.
- Good problem solving skills.
- Very high sense of ownership.
- Deep interest and passion for technology
- Prior experience of leading software teams
- Ability to plan projects, execute them and meet the deadline
Creates, modifies and maintains software applications individually or as part of a team under general supervision.
Essential Duties & Responsibilities
• Codes, tests, debugs, implements and documents software applications using established coding standards and methodologies
• Work within an agile scrum team, contributing to an atmosphere of continuous improvement
• Perform code reviews to ensure adherence to best practices
• Understands how to interpret designs and database models and effectively collaborate with Architects
• Master the technologies, languages, and practices used by the team and project assigned
• Trouble shoot and resolve issues in existing software
• Continuous performance improvement of the system
Minimum Qualifications
• Minimum three years of HL7 development experience (implementation only will not be considered) using an industry known interface engine
• Understanding of FHIR and its primary components
• Experience with AWS or Azure cloud-based technologies
• Experience with OAuth2
• Minimum two years EDIFecs experience (Rhapsody will be considered if three years minimum)
Skills/Knowledge
• Must be proficient in basic programming skills and proficient in JavaScript and/or C#
• Strong problem-solving and analysis skills
• Experience with high transactional volume systems
• Ability to design and build workflows from requirements document
• Ability to gather requirements from existing platform
• Ability to learn new development language and platforms quickly and apply that knowledge effectively
• AWS Cloud technologies
• CI/CD experience or understanding
The position will coordinate closely with the head of engineering, the architect, and product managers to build a new healthcare software platform, Document customer meetings well and assess new requirements, build and manage relationships with key personnel, successful project delivery.
5 - 7 years of Healthcare Industry interoperability knowledge (HL7 and FHIR) for Medical Record sharing between Healthcare Organizations
Excellent familiarity with Interoperability Healthcare Standards Organizations and Initiatives
Excellent knowledge of FHIR specifications
Experience building HL7



