Forward Deployed Engineering

About Dyania Health

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.

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.

We're hiring a Forward Deployed Engineer, who will report to our VP of Forward Engineering. Together, you'll be the technical face of Dyania inside every client we deploy Synapsis AI into, owning the relationship from deployment through ongoing operation. As we scale, that technical interface will run through the Forward Deployed Engineering team. This is a hybrid role: part client-facing technical liaison, part builder, translating what health systems need on the ground into the engineering work
-data models, integrations, pipelines, and workflows- that makes Synapsis AI run reliably inside the healthcare system's firewalls.

As an Individual Contributor in this role, you'll thrive in a fast-changing, innovation-driven environment and partner hand-in-hand with our Clinical Innovations team composed of MDs, Pharm Ds, and PhDs. They define the clinical components of our solution; you own the technical side.

• 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…