Top Tech Jobs & Startup Jobs in NYC, NY

Owns RPM growth engineering, shipping enrollment, outreach, engagement, and provider features from concept to production. Shapes scalable architecture, contributes to the Aria AI coach, manages bugs and vulnerabilities, and investigates complex patient support issues. Requires strong full-stack TypeScript skills, product judgment, technical leadership, startup experience, and comfort working across frontend, backend, data, AI, and regulated healthcare systems.

Own and improve the remote patient monitoring platform, including outreach automation, data synchronization, reporting, EHR integrations, monitoring, and clinic support. Lead integrations for larger clients, identify and ship growth opportunities, and maintain reliable production systems. The role requires strong TypeScript skills, AI-assisted development, integration experience, operational ownership, and clear communication with clinicians and support teams.

The Data Scientist II will lead and execute health economic outcomes research projects, collaborate with stakeholders, and build analytical infrastructure while adhering to regulations.

Lead real-world evidence studies for pharmaceutical clients using complex clinical, molecular, claims, EHR, and registry data. Design observational analyses, derive endpoints, apply survival analysis and causal inference methods, interpret results, and communicate findings to technical and non-technical stakeholders. Develop reusable analytical code and standards while incorporating LLMs and agentic workflows into research processes. Collaborate cross-functionally to improve data quality, products, and RWE methodologies, with a focus on oncology and clinical development.

Lead real-world evidence studies using complex clinical and molecular data, observational study design, survival analysis, causal inference, and machine learning. Collaborate with pharmaceutical partners, derive clinical endpoints, interpret results, develop reusable analytical code, and apply LLM-based tools to accelerate workflows. Communicate findings to technical and non-technical stakeholders through reports, presentations, manuscripts, and conference materials while partnering cross-functionally to improve data quality and analytical practices.

Leads the technical design, development, testing, deployment, and support of Epic Aura integrations for ordering, results delivery, and healthcare data sharing. Collaborates with hospital IT teams, Epic representatives, and clinical users; manages testing cycles, supports go-live and production issues, documents workflows, and provides subject matter expertise and training. Requires Epic build experience, certification, and knowledge of clinical or laboratory interfaces, with HL7, FHIR, and Epic interoperability experience preferred.

Lead clinical rollouts and operational integration of ECG-AI solutions across healthcare partner sites. Manage launch planning, clinical staff onboarding, adoption, account health, care pathway tracking, and relationships with hospital stakeholders. Build scalable operational processes, coordinate cross-functional teams, support strategic initiatives, and contribute to commercial growth, clinical validation, and algorithm expansion.

Provides desktop and remote IT support for employees and clients, including hardware, software, accounts, peripherals, conference-room technology, VOIP, and endpoint security. Maintains IT inventory, ticketing workflows, onboarding and offboarding, documentation, and vendor relationships. Supports executives and IT operations initiatives while troubleshooting macOS, Windows, SaaS, identity-management, network, and mobile-device systems.

Lead research and development of large-scale multimodal foundation models for precision medicine using clinical and molecular data. Responsibilities include model architecture, pretraining, representation learning, self-supervised and multimodal learning, downstream clinical applications, scientific publication, technical leadership, and validation for healthcare and life sciences products. The role requires collaboration across research, engineering, regulatory, and product teams.

Build and operate scalable healthcare data pipelines, dbt models, event-driven services, APIs, and Google Cloud infrastructure. Model and govern multimodal EHR, genomic, and imaging data for AI agents across federated hospital networks. Ensure data quality, lineage, observability, security, HIPAA compliance, and production reliability while contributing to TypeScript application services and agentic workflows.