
Artificial Intelligence • B2B • Pharmaceuticals
ODAIA is an AI-driven platform that enhances sales efficiency in the pharmaceutical industry by providing predictive analytics and personalized insights for healthcare professionals (HCPs). It processes sales data to deliver optimized call lists and prioritize targets for sales representatives, enabling effective engagement strategies across different territories. ODAIA helps companies improve patient outcomes and commercial success by leveraging customer science and data-driven decision-making.
October 16

Artificial Intelligence • B2B • Pharmaceuticals
ODAIA is an AI-driven platform that enhances sales efficiency in the pharmaceutical industry by providing predictive analytics and personalized insights for healthcare professionals (HCPs). It processes sales data to deliver optimized call lists and prioritize targets for sales representatives, enabling effective engagement strategies across different territories. ODAIA helps companies improve patient outcomes and commercial success by leveraging customer science and data-driven decision-making.
• Work with the product team to understand product strategy and product roadmap • Work directly with engineering and ML engineering teams to understand data science capabilities, cloud infrastructure, and how these components can help solve end-user problems • Manage backlogs, prioritize stories and improvements • Analyze, utilize, and act on the data insights presented through instrumentation • Consult with product and design on the best visualization and experience • Facilitate inter-team and cross-functional collaboration, and come up with new ways to leverage instrumentation reporting for product development initiatives • Juggle between production and rapid prototyping needs in a fast-paced environment using agile software practices
• 3+ years of experience in a full stack role, with strong hands-on coding experience • 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; you’re comfortable working cross-functionally with technical and non-technical stakeholders • Understanding of data science or data analytics is highly beneficial • Bonus: Experience with data visualization libraries or tools, healthcare/pharma data, or building internal tools • 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
• Medical & dental benefits - with immediate enrollment for full-time, permanent employees • Flexible working hours, focusing on what we achieve and not the number of hours we clock • Flexible time off policies • Stock option grants
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