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Dyania Health

Automates EMR review with AI

Forward Deployed Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeJersey City, NJ, USA

About the Job

Requirements

  • A Bachelor's degree in Engineering, Computer Science, or a related technical field is required.
  • At least 5 years of experience as a software engineer using Python or similar coding languages is required.
  • At least 2 years of technical experience that includes customer-facing work is required.
  • Experience working with SQL and NoSQL data stores, including schema design, query-level performance tuning, and data mapping, is required.
  • Experience with containerization using Docker, building and operating services in production, and CI/CD pipelines is required.
  • Hands-on experience with event-driven or workflow-based architectures, such as queue/worker systems, pub/sub, durable workflow engines, or similar orchestration of distributed, retriable jobs, is required.
  • Experience analyzing systems and providing operational enhancements is required.
  • Experience communicating risks or failures and adjusting quickly to address them is required.
  • Experience leading technical customer sessions for requirements gathering, technical presentations, or debugging is required.
  • Clear written and verbal communication skills with external and internal stakeholders are required.
  • The candidate must be able to operate in fast-moving, high-expectation, founder-led environments and be comfortable with ambiguity and rapid scaling.

Responsibilities

  • Serve as the primary technical liaison to the client throughout deployment, owning the technical aspects of onboarding end to end in direct partnership with the Clinical Innovations Group and Business Development teams.
  • Prepare deployment timelines and coordinate release schedules with release and reliability engineering teams.
  • Collaborate on cybersecurity reviews and other technical evaluations of Synapsis AI, guiding clients to sign-off.
  • Capture technical requirements from clients and drive development of engineering features needed for efficient and reliable Synapsis AI processing.
  • Own data mapping and integration work during deployment and as new use cases emerge at client sites.
  • Analyze and validate the data environments and data sources Synapsis AI needs to integrate with.
  • Lead database mapping efforts, SQL logic definition, and prioritization of sources of truth across complex medical data pipelines.
  • Build and fine-tune ETL pipelines that provide Synapsis AI with information needed to process clinical projects.
  • Partner with the Clinical Innovations team to implement clinical projects based on the clinical instructions they shape for Synapsis AI.
  • Support Clinical Innovations and Business Development reporting needs to ensure Synapsis AI accuracy and reliability in production.
  • Build pipelines that automate manual tasks across deployment and day-to-day operations.
  • Monitor system activity and service health with engineering and client-side engineering teams, proposing enhancements as issues or opportunities arise.
  • Develop, request, or enhance workflows that support day-to-day Synapsis AI operations at each site.
  • Together with the VP of Forward Engineering and in coordination with Clinical Innovations, own operational-level technical communication with clients, capture client- and project-specific needs, and translate them into actionable requirements for Engineering, Product, or other internal teams.

Desired Qualifications

  • A Master's or PhD degree in AI, Engineering, Computer Science, or a related technical field is preferred.
  • Experience as a Software Engineer on data-intensive systems in healthcare, bioinformatics, or a similarly regulated domain is preferred.
  • Experience automating processes using generative-AI tools is preferred.
  • Experience leading or partnering closely within cross-functional, multidisciplinary teams is preferred.
  • Experience in a startup environment, building products from 0 to 1 and taking systems from conception to launch, is preferred.
  • A strong understanding of medical terminology, EMR data structures, clinical logic, and research methodology is preferred.

About the Company

Dyania Health

Automates EMR review with AI

Dyania Health (Synapsis AI) automates the review and abstraction of electronic medical records (EMRs) by using AI together with medical expertise to interpret patient data and draw clinical conclusions. It analyzes EMR content to determine relevance and outputs structured data for tasks like pre-screening patients for clinical trials, conducting observational studies, and meeting reporting or registry requirements. The company stands out by blending domain-specific clinical knowledge with AI to handle complex EMR review across both clinical and research workflows, not just generic automation. Its goal is to help healthcare providers and research institutions operate more efficiently through automated EMR review and data extraction, typically via a service or subscription model priced by EMR volume and task complexity.

Company size
11-50
Company stage
Series A
Total funding
$17.6M
Headquarters
Jersey City, NJ
Founded
2019

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