Software Engineer, Application Integration

Posted 3 Hours Ago
Be an Early Applicant
Hiring Remotely in United States
Remote
Mid level
Artificial Intelligence • Healthtech • Machine Learning
The Role
Build and deploy integrations between the Bayesian platform and large EHR systems, implement automated integration and end-to-end tests, support production deployments and go-lives, develop tooling and automation (including LLMs), and collaborate with implementation and clinical teams to deliver clinician-facing workflows.
Summary Generated by Built In
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.

Read more about our recent publication in Nature Medicine that associates our products with lives saved.

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 hand-in-hand 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, stakeholder management, communication, and project management, while a Clinical Integration owns the clinician-facing side of the integration. You'll work closely with both, bringing your technical expertise to a team that's already set up to support the client and clinical needs of the project.

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 other relevant technical discipline

  • 3+ years building and deploying full-stack applications into production, including integration with external APIs (React, TypeScript preferred)

  • 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

  • Experience rolling out production deployments, supporting systems through go-live via an on-call or support rotation, and triaging production issues

  • 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 with SMART on FHIR applications, integration with Electronic Health Records (EHR) systems, and Health IT interoperability standards such as HL7v2 and FHIR.

  • 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.

Skills Required

  • BS in Computer Science or relevant technical discipline
  • 3+ years building and deploying full-stack applications into production, including integration with external APIs
  • Experience with React
  • Experience with TypeScript
  • Experience with cloud solutions (AWS, Azure, etc.) in production
  • Experience with relational databases (PostgreSQL, MySQL, etc.) in production
  • Experience writing automated integration and end-to-end tests for production systems
  • Experience rolling out production deployments, supporting go-live via on-call or support rotation, and triaging production issues
  • Strong communication and cross-functional collaboration skills
  • Experience with SMART on FHIR and EHR integration
  • Familiarity with Health IT interoperability standards such as HL7v2 and FHIR
  • Experience working with enterprise customers
  • Experience building internal tooling or automation, including leveraging LLMs
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The Company
HQ: New York, New York
37 Employees

What We Do

Bayesian Health offers an adaptive AI/ML platform that forecasts declining trajectories within a hospital/health system’s patient population. The research-backed platform is designed to empower providers with the ability to identify and intervene with next-best actions in a timely way. This is accomplished by sending accurate and actionable clinical signals for a wide range of critical condition areas within the EMR and existing workflows. As a result, physicians and care team members are able to catch life-threatening complications much earlier, leading to better patient outcomes and reductions in healthcare costs. This pioneering approach is referred to as Intelligent Care Augmentation. Why the name “Bayesian”? Optimal decision making relies on being good at pulling together lots of relevant data, knowing what to trust, integrating these data to create forecasts, and updating forecasts as new data arrive. That’s a Bayesian way of reasoning. Bayesian Health leverages best in class AI/ML techniques to enable this for care teams because decisions around our health deserve the best data and inferences. Learn more at bayesianhealth.com. Select Recognition: - Times Best Invention 2023 https://time.com/collection/best-inventions-2023/6324389/targeted-real-time-early-warning-system/ - Forbes AI 50 2023 https://www.forbes.com/sites/konstantinebuhler/2023/04/11/ai-50-2023-generative-ai-trends/ - WebMD Health Heroes 2024 https://www.webmd.com/healthheroes/suchi-saria - World Economic Forum Tech Pioneer 2023 https://initiatives.weforum.org/technology-pioneers/ - Women Leaders in Healthcare https://www.modernhealthcare.com/awards/2024-women-leaders-suchi-saria - Top 25 Innovators by Modern Healthcare https://www.modernhealthcare.com/awards/2022-top-25-innovators-suchi-saria - Top 50 in Digital Health https://www.top50indigitalhealth.com/past-honorees

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