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Tier-1 employer and metro location increase competition, but senior niche ML/pharma skills moderate applicant density.
Highly pharma-specific data, MMx and regulatory requirements reduce cross-industry transferability.
Many mandatory requirements: 10+ years, MMx US experience, LLM operationalization, cloud and regulatory expertise.
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Design, build, validate, and deploy advanced Marketing Mix Models (MMx) to optimize budget allocation and measure ROI in the US pharmaceutical market.
Develop, operationalize, and maintain AI-driven decision systems including agentic AI frameworks to support brand and commercial strategies.
Lead talent development by training and mentoring analytics teams, establishing modeling standards, and embedding AI analytics into commercial workflows.
Bachelor's degree required; advanced degree preferred in life/physical sciences, applied sciences, or engineering.
10+ years of pharmaceutical commercial analytics or advanced analytics experience, primarily focused on MMx projects in the US market.
Proven experience launching and scaling agentic AI solutions and operationalizing LLMs for commercial use cases.
Strong proficiency with Python/R, machine learning frameworks, cloud analytics platforms, and regulatory knowledge including HIPAA and GDPR/CCPA.
Extensive practical experience personally delivering US pharmaceutical MMx models and embedding AI solutions into commercial strategies.
Strong technical leadership demonstrated by mentoring analytics teams and driving adoption of AI in regulated environments.
Expertise in combining econometric, AI/ML techniques with deep domain knowledge of commercial pharmaceutical data and omnichannel metrics.