Pfizer

HQ
New York
Total Offices: 10
121,990 Total Employees
Year Founded: 1848

Teams at Pfizer

Recently posted jobs

YesterdaySaved
In-Office
6 Locations
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads scientific and clinical execution for one or more biopharmaceutical studies, overseeing protocol development, data review, safety assessments, risk management, regulatory support, investigator communications, committee operations, training, compliance, and clinical study reporting. Provides clinical guidance across study design, start-up, conduct, close-out, and disclosure while coordinating cross-functional teams and mentoring colleagues. Cardiometabolic experience and global travel may be required. This is a hybrid role requiring onsite work approximately 2.5 days weekly.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Build and manage consumer CRM audiences, personalization, and data extensions in Salesforce Data Cloud for Pfizer’s owned-channel email campaigns. Partner with CRM strategists, Marketing Channel Delivery, Accenture, engineering, website, data science, and analytics teams. Manage audience intake and QA workflows, support data dictionaries, analyze campaign performance, and improve targeting strategies using CDP data, Salesforce Marketing Cloud analytics, and SQL.
4 Days AgoSaved
Hybrid
5 Locations
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Leads reporting, analytics, and optimization across Pfizer’s promotional content delivery ecosystem. Builds and maintains dashboards and report catalogs using Power BI and Adobe platforms, monitors adoption and usage trends, interprets metrics, and delivers actionable recommendations. Manages complex cross-functional projects involving Biopharma Operations, marketing, agencies, and stakeholders. Supports improved content effectiveness, speed to market, service efficiency, and cost optimization while leveraging AI-enabled insights and operating independently in a matrixed environment.