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ODAIA

AI-powered pharma HCP targeting analytics

Software Engineer

Full-Stack EngineeringPosted on Nov 9
Full-timeVancouver, BC, CanadaNo salary listed

About the Job

Requirements

  • At least 3 years of professional software development experience, with ownership across frontend and backend systems.
  • Hands-on experience using coding agents as a primary development method, including providing clear context, directing work across multiple tasks, reviewing multi-file changes, catching incorrect assumptions, and owning the final result.
  • Strong React and TypeScript skills, including browser fundamentals, state management, accessibility, and performance with large data sets and dashboards.
  • Experience building and operating APIs or backend services in Python, TypeScript, or a comparable technology, including integrating third-party APIs with resilient handling of rate limits, retries, and failures.
  • Strong fundamentals in modular design, automated testing, and maintainable code, and the judgment to assess and explain system quality.
  • Working understanding of distributed systems concepts such as caching, queues, and asynchronous processing.
  • Ability to surface ambiguity and explain trade-offs to technical and non-technical audiences.

Responsibilities

  • Own well-defined product capabilities end-to-end, from understanding the user problem through implementation, testing, deployment, monitoring, and iteration.
  • Use Claude Code and other coding agents across the development lifecycle, orchestrate agents across multiple tasks, structure codebases to support effective agent work, and review and integrate agent output.
  • Build accessible, responsive React and TypeScript experiences, including data-rich workflows and interfaces that handle large data sets.
  • Design and maintain APIs and backend services connecting ODAIA’s data, machine learning, analytics, and agentic capabilities to customer-facing products.
  • Build, deploy, and operate applications on AWS and Kubernetes, working across Snowflake, PostgreSQL, third-party APIs, and embedded engines such as DuckDB and DataFusion.
  • Ship incrementally with automated testing, continuous integration, feature flags, and instrumentation to show how features behave in production.
  • Participate in technical design, code review, and architecture discussions; assess designs, flag risks and trade-offs early, and propose improvements.
  • Work with product, design, and machine learning engineering, build life sciences expertise, and bring ideas that push the product forward.

About the Company

ODAIA

AI-powered pharma HCP targeting analytics

ODAIA provides AI-powered predictive analytics and commercial insights for the pharmaceutical and healthcare sector through a SaaS platform called MAPTUAL. MAPTUAL helps identify, qualify, and engage healthcare providers, reducing the time it takes for therapies to reach patients. The platform has two main solutions: MAPTUAL Field, which helps sales teams target, predict, and engage HCPs, especially in declining markets or new markets; and MAPTUAL Sphere, which supports marketing teams and sales managers with real-time, historical, and future analytics across HCP segments and regions. ODAIA’s approach combines proprietary analytics with human-centric insights to enable better decision-making and faster therapy delivery, aiming to guide humans toward improved health journeys.

Company size
51-200
Company stage
Series B
Total funding
$43.4M
Headquarters
Toronto, Canada
Founded
2018

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