Senior Insights Lead, Oncology Strategy & AI

AstraZeneca plc

Gaithersburg (MD)

Hybrid

USD 148,000 - 222,000

Full time

3 days ago
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Benefits offered by this job

Incentive bonuses
Equity-based awards
Health, dental, and vision coverage
Retirement programs
Paid time off

Job summary

AstraZeneca plc in the United States seeks a Senior Manager, Integrated Insights to drive data-driven strategy across the US Oncology portfolio. You will partner with brand, forecasting, and analytics teams to illuminate customer needs, inform forecasts, and translate market signals into actions that accelerate launch and in-market excellence.

Collaborating with cross-functional teams, you will shape strategic decisions using primary research, secondary data, and advanced analytics, including AI

Qualifications

  • Bachelor's degree in a quantitative field
  • 4+ years in pharma/biotech
  • 2+ years primary market research
  • Proven ability to influence
  • Strong understanding of market research tools
  • Experience with novel AI methodologies

Responsibilities

  • Identify business needs and develop research plans
  • Lead primary market research and manage budgets
  • Translate insights into forecasting and strategic actions
  • Apply AI tools to research and scale insights
  • Create executive storytelling presentations
  • Integrate secondary data with analytics

Skills

Bachelor's degree
Pharma/biotech experience
Primary market research
AI methodologies
Influence skills
Market research tools
Oncology experience

Education

Advanced degree (MBA)
Quantitative background

Tools

AI tools

Job description

AstraZeneca plc in the United States seeks a Senior Manager, Integrated Insights to drive data-driven strategy across the US Oncology portfolio. You will partner with brand, forecasting, and analytics teams to illuminate customer needs, inform forecasts, and translate market signals into actions that accelerate launch and in-market excellence.

Collaborating with cross-functional teams, you will shape strategic decisions using primary research, secondary data, and advanced analytics, including AI

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