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Pfizer · 2 months ago

Senior Manager, Oncology Data Science, Hematology

United States - Washington – Bothell

Full-time

Hybrid

Mid, Senior Level

$121K/yr - $201K/yr

6+ years exp

Pfizer is a leading biopharmaceutical company seeking a Senior Manager of Data Science & Analytics to support hematology. The role focuses on developing data-driven insights to inform commercial strategy and operational effectiveness, requiring hands-on data analysis and collaboration with cross-functional teams.

BiotechnologyHealth CareMedicalPharmaceuticalPrecision Medicine

No H1B

Responsibilities

Develop and implement advanced analytics models, using techniques such as machine learning, predictive modeling, and statistical analytics, to drive insights into customer behavior, market trends, and product performance

Leverage multiple external data sources (e.g., claims data, specialty pharmacy data, non-retail sales) to generate actionable insights that address strategic business questions

Partner with Commercial Information Management and data governance teams to ensure the proper stewardship of data, including the integration of new data assets to enhance decision-making

Ensure the quality, accuracy, and timeliness of data used for analysis by collaborating with IT, Marketing, and other cross-functional teams to maintain clean and reliable datasets

Collaborate with the Director of Oncology Data Enablement to identify and assess relevant commercial data sources (e.g., Komodo Health, IQVIA, Symphony) that can be integrated into analytics projects to improve insights and decision-making capabilities

Apply advanced data science techniques to develop customer segmentation strategies that optimize targeting and resource allocation for marketing and sales teams

Analyze customer behavior and market data to develop insights that enhance engagement strategies and drive commercial success

Develop and maintain national-level brand performance reports, providing detailed insights into market trends, competitive dynamics, and product performance

Provide analytical support during product launches, including competitive intelligence, market analysis, and performance tracking to ensure successful market entry

Analyze data to inform operational effectiveness and market performance, providing insights that optimize marketing strategies and sales operations

Create and manage executive-level reports and dashboards, ensuring that key performance indicators (KPIs), market trends, and insights are effectively communicated to decision-makers

Work closely with other teams (e.g., Marketing, Market Research Insights, Forecasting, Finance) to integrate data insights into broader strategic initiatives and support decision-making

Present complex analytical insights to senior leadership, translating data into clear and actionable recommendations that support business-critical decisions

Continuously identify opportunities to improve data analytics methodologies, processes, and tools to enhance the efficiency and accuracy of insights

Stay current with industry trends and emerging data science techniques, incorporating innovative approaches into data analysis to drive better business outcomes

Manage relationships with external vendors and data providers, ensuring timely delivery of high-quality data and insights that meet the franchise’s needs

Collaborate with Data Science & Analytics leadership to manage budgets and allocate resources effectively to support franchise data science and analytics efforts

Qualification

Data AnalysisMachine LearningPredictive ModelingData VisualizationOncology ExpertiseSQLPythonRAnalytical MindsetCross-Functional CollaborationStrategic ThinkingCommunicationProject Management

Required

Bachelor's degree in data science, analytics, mathematics, biological or physical sciences, statistics, business, or a related field

Minimum of 6+ years of experience in data science, analytics, or commercial operations, with at least 5+ years in the pharmaceutical or biopharmaceutical industry. Post-graduate education can substitute for a portion of the work experience requirement

Proficiency in data analysis tools such as Python, R, SQL, and data visualization platforms (e.g., Tableau, Power BI)

Experience working with cross-functional teams, including marketing, sales, and IT, to integrate data insights into commercial strategies

Strong analytical and problem-solving skills, with the ability to develop data-driven solutions to complex business challenges

Ability to think critically and strategically, translating complex data into actionable forecasts that drive business decisions

Excellent verbal and written communication skills, with the ability to present complex data insights to commercial leaders and cross-functional teams in a clear and actionable manner

Proven ability to manage multiple projects simultaneously, prioritize competing demands, and meet deadlines in a fast-paced environment