
Job Description
Software Engineer, Data 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 massive, complex Electronic Health Record (EHR) systems and the Bayesian platform to generate real-time lifesaving clinical insights that clinicians rely on. Working hand-in-hand with our health system clients' technical teams, you'll turn fragmented data into immediate, actionable clinical insights that empower 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
Data Integration & Ingestion: Partner with the client's technical teams to design and implement the data integration interface and ingestion pipelines that feed the Bayesian platform with real-time clinical data, powering insights that improve patient outcomes.
Integration Testing & Troubleshooting: Implement automated integration tests at the data layer, and work directly with client technical teams 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 build and configuration for the data interface, ingestion, and mapping are successfully promoted to production for a seamless launch. During go-live week, you will serve as the technical point of contact for any data 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 data integration workstream with the overall integration effort.
Minimum qualifications
BS in Computer Science or other relevant technical discipline
3+ years building and deploying data interface and ingestion pipelines to production, including integration with external APIs (Python preferred)
Strong ability to investigate and resolve data correctness problem end-to-end, across services, storage, and external data sources.
Experience with cloud solutions (AWS, Azure, etc.) and relational databases (PostgreSQL, MySQL, etc.) in a production environment
Experience writing automated integration 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 Project/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.
Optimize Your Resume for This Job
Get a match score and see exactly which keywords you're missing
Job Details
- Category
- Software
- Employment Type
- Full Time
- Location
- Remote - US Only (Remote)
- Posted
About Bayesian Health
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
More Roles at Bayesian Health





Similar Software Roles



Found this role interesting?