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Tier-1 brand, mid-level generalist ML role in metro with broad skillset increases competition.
Requires pharmaceutical ecosystem and patient-support domain expertise, reducing cross-industry transferability.
Explicit years requirement, mandatory ML skills and pharmaceutical ecosystem knowledge make screening strict.
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Develop and deploy advanced machine learning, operational research, semantic analysis, and statistical methods on large data sets to create analytics solutions addressing customer needs.
Manage and upgrade Proprietary AI engine optimizing Copay and GTN initiatives ensuring models meet SLA expectations.
Collaborate with global cross-functional teams to define AI tool roadmap, translate business needs into technical specs, and develop AI-driven automation, dashboards, and workflows.
Master’s degree in computer science, statistics or STEM with minimum 2 years Information Systems experience OR Bachelor’s degree in same fields with minimum 4 years experience.
Experience with analytic software/tools such as R and Python.
Foundational understanding of US pharmaceutical ecosystem and Patient support services (Copay) including claims and prescription data.
Strong foundation in machine learning algorithms and statistical techniques including regression, clustering, classification, and hypothesis testing.
Experienced in applying machine learning to pharma-related datasets with knowledge of US healthcare and patient support.
Skilled in managing end-to-end AI development and deployment including MLOps and AI automation.
Ability to collaborate effectively with global technical and business teams to deliver AI-powered insights and solutions.