Senior Full-Stack Developer

Odaia Intelligence Inc.•Toronto, ON

27d•Remote

About The Position

ODAIA delivers AI-powered commercial intelligence for life sciences - unifying data, accelerating results, and helping commercial teams deepen engagement to enhance care for providers and patients. ODAIA's AI platform transforms complex data into predictive, personalized insights, enabling commercial leaders to understand their customers, anticipate prescribing behaviors, and make the informed, strategic decisions that bring therapies to patients faster. We're looking for a Senior Full-Stack Developer to join our engineering team! You'll work across the full stack to design, build, and ship features that directly impact how pharma commercial teams engage with healthcare providers. You'll collaborate closely with product, design, and ML engineering to solve complex problems and help bring our AI-powered platform to life. We expect this person to be an active voice in how we plan and build — contributing to epics, shaping scope, and bringing engineering perspective into roadmap conversations from the start.

Requirements

5+ years of experience in a full stack role, with strong hands-on coding experience
Proven experience contributing to technical planning at the epic level — you've shaped scope, pushed back on timelines, and brought engineering perspective into roadmap conversations
Comfortable with ambiguity — you don't wait to be told what to build, you help figure out what should be built and why
Solid understanding of data structures, algorithms, object-oriented design, functional design, and other design principles/patterns
Experience building APIs using at least one of the following technologies: Python, Javascript/Node.js, Java, and .Net
Experience in React and Typescript
Experience with RESTful APIs, third-party API integrations, and database systems (PostgreSQL, MongoDB, etc.)
Experienced in AWS stack or an equivalent cloud platform
Understanding of data science or data analytics is highly beneficial
A pragmatic, delivery-oriented mindset — you know how to ship clean code that solves real-world problems
Experience supporting enterprise customers with custom implementations or workflows
Excellent communication skills; comfortable working cross-functionally with technical and non-technical stakeholders
Adjusts quickly to changing priorities and copes effectively with complexity and ambiguity
A continuous learner who seeks and welcomes feedback to improve yourself and your craft
Grand vision, low ego, and able to make a big impact

Nice To Haves

Experience with data visualization libraries or tools
Experience with healthcare/pharma data
Experience building internal tools

Responsibilities

Actively participate in epic planning, sprint scoping, and roadmap discussions — this role contributes to how we build, not just what gets built
Own features end-to-end, from breaking down requirements with product and design through to delivery
Work with the product team to understand product strategy and contribute engineering perspective to planning decisions
Work directly with engineering and ML engineering teams to understand data science capabilities, cloud infrastructure, and how these components help solve end-user problems
Own backlog prioritization and story refinement in collaboration with product and design
Analyze, utilize, and act on data insights presented through instrumentation
Consult with product and design on the best visualization and experience
Facilitate inter-team and cross-functional collaboration
Juggle between production and rapid prototyping needs in a fast-paced environment using agile software practices
Encourage, mentor, and coach junior members of the product development team
Assist with the setup of best practices and develop technical and product domain expertise