About this role.
This is a full-time Software Engineer role focused on integrating Bayesian Health's platform with complex EHR systems and clinical workflows. The engineer will build and configure full-stack integrations, diagnose issues across EHR launch contexts, APIs, and data layers, and support production deployments and go-lives. Core technical requirements include React, TypeScript, external APIs, cloud platforms, relational databases, and automated integration/end-to-end testing. Preferred domain expertise includes SMART on FHIR, CDS Hooks, Epic launch integrations, and healthcare enterprise deployments. The role is highly client-facing and requires close collaboration with implementation, clinical integration, product, and hospital technical teams.
Role DNA
A quick view of the complexity, pace, ownership and collaboration implied by the job description.
Job Complexity
4/5Pace & Pressure
5/5Autonomy Level
4/5Communication Load
5/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
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Sample interview questions
I would first establish the expected workflow and capture the patient, encounter, timestamp, user, and launch context. I would trace the request from the EHR launch through authentication and API logs to the application and underlying data, validate applicable rules and configuration, then isolate whether the cause is workflow setup, missing data, API behavior, or application logic. I would provide stakeholders with a concise status update, remediation plan, and preventive follow-up such as an automated test or monitoring improvement.
I use layered coverage: unit tests for transformation and business logic, contract tests for API schemas and expected responses, and end-to-end tests for critical user workflows. I include normal, incomplete-data, authorization-failure, retry, and error-handling scenarios, while using realistic but de-identified fixtures. Tests should run reliably in CI and produce actionable diagnostics when a dependency or configuration changes.
Key considerations include secure OAuth-based launch and token handling, correct patient and encounter context, FHIR resource variability across EHR implementations, authorization scopes, latency, and resilient error handling. I would work closely with clinical and EHR teams to validate that the application fits the intended workflow and ensure auditability and privacy safeguards appropriate for clinical data.
I would establish a clear launch checklist covering environments, configuration, access, deployment validation, rollback procedures, ownership, and escalation paths. During launch, I would monitor high-signal technical indicators, maintain a concise incident log, and give regular status updates tailored to both internal partners and the customer. Afterward, I would conduct a retrospective to address root causes and improve repeatability for future integrations.
I would identify repetitive work such as mapping integration requirements, generating test fixtures, reviewing configuration differences, or summarizing diagnostic logs. An LLM-assisted tool could propose mappings or triage summaries, but I would keep human review, validation rules, and access controls in place because the domain involves sensitive healthcare workflows. The objective would be to reduce manual effort while preserving correctness, security, and traceability.
Software Engineer, Application Integration
In Brief
We’re a rapidly growing startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.
Join us in transforming healthcare from reactive to proactive. You’ll spearhead the engineering effort to build the bridge between massive, complex Electronic Health Record (EHR) systems and the Bayesian platform, delivering critical, real-time insights to help clinicians save lives.
Who We Are
Bayesian Health’s mission is to improve patient outcomes by empowering clinicians with the insights they need to make the right decision for the right patient at the point-of-care. We’re a diverse team of clinicians, engineers, machine learning experts, product designers, and performance improvement leaders committed to enabling smarter, patient-specific care delivery through unlocking the power of data.
We’re funded by top tier tech and biotech investors: Obvious Ventures, Andreessen Horowitz, American Medical Association’s venture arm, Catalio Partners, and LifeForce Capital. Our company has won many awards; most recent recognitions include: Forbes AI Top 50, World Economic Forum Tech Pioneer, Time Best Inventions, BioTech AI Company of the Year.
What you’ll do
You will be at the forefront of a high-impact engineering mission, building the bridge between the Bayesian platform and the clinical workflows inside massive, complex Electronic Health Record (EHR) systems, delivering the real-time lifesaving insights that clinicians rely on. Working directly with our health system clients’ EHR and clinical informatics teams, you’ll bring our clinical insights to the point of care — in the right workflow, at the right moment — empowering care teams to make the best decisions for their patients.
Each integration is a partnership. An Implementation Lead owns the client relationship and project management; a Clinical Integration owns clinical workflow design and training. You own the technical workstream — which means you’re the engineer in the room. When a clinician says the alert didn’t fire for a patient, you have thirty minutes and their full attention to trace it from the EHR launch context through the API to the underlying data, and tell them what happened.
Responsibilities
Clinical Workflow Integration: Extend and configure the full-stack application across the EHR integration surface, coordinating with client EHR and clinical informatics teams, to deliver Bayesian’s clinical insights to clinicians.
Integration Testing & Troubleshooting: Implement automated integration tests and work directly with client technical teams and frontline clinicians during integration testing to investigate and resolve issues, ensuring smooth and timely integrations.
Production Deployment & Go-Live: Execute the deployment process in close collaboration with the client’s technical team, ensuring all configurations and builds for the application and workflow are successfully promoted to production for a seamless launch. During go-live week, you will serve as the technical point of contact for any application integration issues, both internally and with the client’s teams, providing clear status updates to cross-functional partners so they can effectively manage client communication.
Integration Tooling & Automation: Develop frameworks and tooling, leveraging LLMs and automation, to increase the efficiency and velocity of our platform integrations as we scale.
Cross-Functional Collaboration: Work alongside an Implementation Lead, Clinical Integration, and the client’s technical teams to align the application integration workstream with the overall integration effort.
Minimum qualifications
BS in Computer Science or equivalent practical experience
3+ years building and deploying full-stack applications into production, including integration with external APIs (React, TypeScript preferred)
Strong ability to investigate and resolve application issues end-to-end
Experience with cloud solutions (AWS, Azure, etc.) and relational databases (PostgreSQL, MySQL, etc.) in a production environment
Experience writing automated integration and end-to-end tests for production systems
Strong communicator with a demonstrated ability to collaborate across functions, working effectively with internal stakeholders, including Product Managers, to align on priorities and deliver results.
Preferred qualifications
Experience building EHR-embedded applications such as SMART on FHIR, CDS Hooks, or Epic launch integration.
Experience rolling out production deployments, supporting systems through go-live via an on-call or support rotation, and triaging production issues
Experience working with enterprise customers, and the agility and responsiveness they require.
Experience building internal tooling or automation, including leveraging LLMs, to improve engineering velocity
Bayesian Health provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Annual salary information is not provided for this position. Explore salary ranges for similar roles in our Salary Directory ›
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