Forward Deployed Software Engineer, Full Stack Forward Deployed Software Engineer, Full StackIn BriefWe’re an early-stage startup on a mission to make healthcare proactive by empowering physicians, nurses, and care team members with real-time data to save lives.You will lead and optimize enterprise-level client technical implementations, and help us build our growing Forward Deployed Engineering team. 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 Lead the integration of our clinical AI platform and application with our health system clients’ electronic health records (EHR) involving cross-functional collaboration with Client Success, Clinical, Product, and Data Science. You’ll play an important role in building automation and tooling to reduce integration resources and timeline that’s crucial as we expand our client base. Additionally, you will help us build the rest of the Forward Deployed team we are investing heavily in, given the importance and impact of these roles as our company grows. Responsibilities Leading enterprise client implementations: As the technical lead of a client project, you’ll work with the client to understand the best integration strategy, and own the planning and execution of the project end-to-end. Optimizing: Develop frameworks and tooling to increase efficiency and velocity of client implementations. End-to-end testing: Create and execute testing plans to ensure smooth and timely integrations. Team building: Partner with the Director of Engineering to define hiring strategy for future Forward Deployed Software Engineer hires. Cross-functional collaboration: Work closely with Client Success, Clinical, Product, and Data Science to drive alignment and deliver impactful technology that saves lives. Minimum qualifications BS in Computer Science or other relevant technical discipline, with 5+ years as a forward deployed engineer. 4+ years developing and deploying production quality full stack applications for clients (React, Typescript preferred)4+ years of experience creating and presenting technical design proposals that include technical specifications, implementation and test plans.Experience using cloud solutions (AWS, Azure, etc) and relational databases (Postgresql, MySQL, etc) in a production environment. Strong communication and presentation skillsPreferred qualifications Experience with SMART on FHIR applications, integration with electronic health records (EHR) systems, and Health IT interoperability standards.Experience working with enterprise customers, and the agility and responsiveness they require.Excitement for Bayesian’s mission and being a bar raiser so we can accelerate the pace at which we create value.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.