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Lead HCP marketing strategy for Rare Neurology products, overseeing engagement strategies, competitive market analysis, and cross-functional collaborations to achieve brand success.

The Program Lead oversees Regeneron's ERP Modernization Program, managing planning, execution, risk, and stakeholder engagement while ensuring alignment with business goals.

The Associate Director will engage with oncology thought leaders, support marketing initiatives, and ensure compliance while managing multiple projects.

The Manager will lead programming for clinical study data processing, oversee programming deliverables, support study teams, and manage resources while ensuring compliance with regulatory standards.

The Senior Manager, Statistical Programming leads programming support for clinical studies, oversees project deliverables, mentors junior staff, and develops standards to meet regulatory submission requirements.

The principal statistical programmer leads programming support for clinical studies, evaluates requirements, designs programs, and manages documentation. They ensure analysis datasets meet specifications and provide timely project support until regulatory approval, contributing to improvements and training within the department.

The Senior Director of Neurology HCP Marketing develops and implements marketing strategies for the Neurology portfolio, oversees competitive strategy, manages stakeholder communication, and ensures alignment across functions. This role includes leadership of teams and budget oversight while adhering to regulatory guidelines.

Partner with R&PD leadership to provide strategic HR support across talent acquisition, onboarding, performance management, employee relations, change management, compensation in Workday, and organizational development projects to promote a high-performance culture.

Support operational and administrative functions in compliance by managing documentation, conducting data analysis, facilitating training, and assisting with compliance initiatives.

Design and develop applied AI/ML solutions for health informatics: frame ML problems, build and evaluate models and pipelines, run experiments and ablations, collaborate with clinical informaticists and engineers to integrate models, document research, and communicate results to technical and non-technical stakeholders.