As a Junior Full Stack Engineer, your primary responsibilities will include:
Design, develop and maintain frontend and backend features for the Patient 360 platform.
Build clinical-facing UIs — patient search, timeline, encounter, results and medication views — with clarity and safety as the priority.
Develop and document REST/JSON APIs consumed by internal services and approved client applications.
Contribute to the daily batch pipeline that ingests, validates and reconciles data from hospital source systems.
Model and query clinical data across graph and relational databases.
Support identity resolution features that link one patient's records across multiple hospital systems, including the review tools used by data stewards.
Implement provenance, data-quality indicators and access auditing so every value on screen can be traced to its source.
Write automated tests, with particular attention to data correctness.
Participate in code review, CI/CD and release processes.
Troubleshoot production issues alongside senior engineers.
Handle patient data in line with our privacy and information governance rules, at all times.
1+ years full-stack experience building production web applications (internships and strong personal projects considered).
Develop user interfaces using React and TypeScript.
Support backend development with Node.js/NestJS (or a comparable framework such as FastAPI, Express or Spring).
Work with SQL databases and relational data modeling — joins, keys, indexes.
Work with Docker for local development and deployment.
Contribute to REST API design and documentation.
Participate in CI/CD processes and automated testing.
Debug methodically: read the error, form a hypothesis, prove it before fixing.
Communicate clearly in written English; our work is collaborative and largely asynchronous.
Willingness to ask questions early and learn a new clinical domain.
Experience using AI code agents (Claude Code, Cursor, GitHub Copilot or similar) as part of a day-to-day development workflow.
Experience with graph databases (ArcadeDB, Neo4j) or query languages such as Cypher.
Exposure to batch/ETL pipelines — scheduling, checkpointing, reconciliation.
Familiarity with healthcare data standards (FHIR, HL7, OMOP, SNOMED CT, ICD, LOINC).
Experience with Kubernetes, Helm or infrastructure-as-code practices.
Exposure to cloud platforms (GCP/AWS/Azure).
Any hands-on work with AI/ML or LLM-based features.
Background working with domain experts (clinical, scientific or similar) to shape a data model.
Prior experience with authentication, RBAC or multi-tenant data isolation.
We provide a dynamic, fast-paced, and collaborative environment where problem-solving and agility are at the heart of what we do. Along with a competitive salary, we foster a culture that values ambition, confidence, and humility, consistently pushing the boundaries of innovation. If you're excited about working in a young, talented tech company and want to explore the world of AI and pharmaceuticals, we encourage you to apply.
Competitive salary with Social insurance contribution on full salary
Workplace: No.45-57, Tran Xuan Soan, Hai Ba Trung, Ha Noi (From Monday to Friday: 9h -17h)
Salary review every quarter
Employees are entitled to 2 work-from-home days per month, along with daily lunch provided by the company.
Holiday & Tet bonuses; performance-based bonus
Work on impactful projects that directly support clinicians and patient care.
Mentoring from senior engineers, with structured code review and a clear path to growth.
Build a professional network through collaborations with hospital groups, pharmaceutical companies, industry leaders, and academic experts.
