Forward Deployed Engineering

Dyania Health•Jersey City, NJ

7h•Hybrid

About The Position

Dyania Health exists to make sure no patient misses out on care they need simply because the evidence was buried in their medical records. A person's health story is scattered across years of visits, notes, and test results — and today, finding the patients who need an intervention means clinicians reading charts by hand, one of the most time-consuming processes in medicine. We built Synapsis AI™, our dual-patented clinical reasoning system, to read that full story the way a physician would. The impact is real and measured: what takes a clinician 30 minutes to 2 hours takes Synapsis AI under half a second, and in peer-reviewed studies at Cleveland Clinic it was more accurate than physician reviewers. Health systems use it first to find patients who need care now, and also to connect patients with clinical trials and accelerate medical research — all while patient data stays securely inside the hospital's own walls. We're a Series B company scaling across major healthcare system and pharma partners, with a team unlike most startups: one-third clinicians and one-fourth published AI researchers, working side by side. The science is validated. The partners are signed and continuing to sign. What we're building now is the company — and that's where you come in.

Requirements

Bachelor’s degree in Engineering, Computer Science, or a related technical field.
+5 years of experience as a software engineer using Python or similar coding languages.
+2 years of technical experience that includes customer-facing work.
Experience working with both SQL (e.g. MSSQL, Postgres) and NoSQL (MongoDB) data stores, including schema design, query-level performance tuning, and data mapping.
Experience with containerization (Docker), building and operating services in production, and CI/CD pipelines.
Hands-on experience with event-driven or workflow-based architectures (i.e.: queue/worker systems, pub/sub, durable workflow engines, or similar orchestrations of distributed, retriable jobs).
Experience analyzing systems and providing operational enhancements.
Experience communicating risks or failures and capacity to adjust quickly and fix where needed.
Experience leading technical sessions with customers for requirements gathering, technical presentations, and/or debugging sessions.
Clear written and verbal communication skills with external and internal stakeholders.
Proven capability to operate in fast-moving, high-expectation, founder-led environments.
Comfortable with ambiguity and rapid scaling.

Nice To Haves

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

Responsibilities

Serve as the primary technical liaison to the client throughout deployment, owning the technical aspects of the onboarding process end to end in direct partnership with our Clinical Innovations Group and Business Development teams.
Prepare deployment timelines and coordinate release schedules alongside our 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 the development of the engineering features needed to ensure Synapsis AI efficient and reliable processing.
Own the data mapping and integration work needed both during deployment and as new use cases emerge at client sites.
Analyze and validate the various data environments and data sources Synapsis AI needs to integrate to.
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 feed Synapsis AI the information needed to process clinical projects.
Partner closely with our Clinical Innovations team, who shape the clinical instructions Synapsis AI runs on, to implement clinical projects.
Support the Clinical Innovations and Business Development teams on reporting needs to ensure Synapsis AI accuracy and reliability in production.
Build pipelines that automate manual tasks across deployment and the day-to-day operation of Synapsis AI.
Monitor system activity and service health in partnership with our engineering team and client-side engineering team, proposing enhancements as issues or opportunities surface.
Develop, request, or enhance the workflows that support the day-to-day operation of Synapsis AI at each site.
Own the technical communication with the client at an operational level while capturing client- and project-specific needs, translating them into clear, actionable requirements for Engineering, Product, or other internal teams at Dyania.