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Strong employer brand, mid-level generalist ML role in metro drives high competition.
Requires US pharmaceutical Copay ecosystem knowledge, reducing cross-industry transferability.
Explicit degree/years requirement plus mandatory ML domain experience increases strictness.
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Develop, deploy, and manage advanced machine learning models and AI engines optimizing Copay and GTN initiatives in US pharmaceutical ecosystem.
Act as subject matter expert supporting development and commercial analytics questions leveraging predictive and prescriptive analytics.
Collaborate with global cross-functional teams to drive AI tool roadmap, develop custom AI-driven applications, dashboards, and automated workflows.
Master’s degree in computer science, statistics, or STEM with minimum 2 years information systems experience OR Bachelor’s degree with minimum 4 years in information systems.
Experience with analytic software/tools such as Python and R, and strong foundation in machine learning algorithms and statistical techniques.
Foundational understanding of US pharmaceutical ecosystem especially Patient support services like Copay and relevant datasets (claims, prescriptions).
Work Experience Required: Minimum 2 years (Master’s) or 4 years (Bachelor’s) in Information Systems.
Experienced in managing end-to-end ML model lifecycles including MLOps and deployment pipelines to meet SLA expectations.
Technical proficiency in AI tool development with capability to translate business needs into scalable AI-driven solutions in pharmaceutical or healthcare analytics.
Ability to work effectively in global, cross-functional teams focused on operationalizing AI/ML to optimize commercial processes within regulated environments.