AstraZeneca
Associate Director, Forward Deployed Decision Science
US - Boston - MA · Director · Full-time · Posted Oct 22, 2026
- Experience
- Typically 4+ years; strong and recent experience with modern AI and analytics is more important than total years alone.
- Education
- Master’s degree or PhD in Data Science, Statistics, Biostatistics, Engineering, Economics, Applied Mathematics, or a related quantitative field.
About the job
Partners with commercial leaders to turn business questions into analytical and AI-enabled solutions that improve commercial decision-making and outcomes.
What you'll do
- Work with commercial teams to understand priorities and translate questions into analytics, machine learning, AI solutions, or decision frameworks.
- Develop analytical and machine learning solutions for commercial use cases and connect results to business outcomes.
- Design AI agents and human-agent workflows, communicate recommendations clearly, and validate outputs under data privacy and AI governance requirements.
What they ask for
- Master’s degree or PhD in a quantitative field such as Data Science, Statistics, Engineering, Economics, or Applied Mathematics.
- Typically 4+ years applying decision science, data science, advanced analytics, or quantitative methods to business problems.
- Hands-on cloud/data platform experience; practical recent experience with AI-enabled, coding-agent, or agentic workflows.
- Working proficiency in Python and SQL, with experience in machine learning, predictive modeling, statistical analysis, and model validation.
Nice to have
- Experience in pharmaceutical, biotechnology, healthcare, life sciences, rare disease, or related consulting or technology.
- Familiarity with commercial healthcare data or analytics use cases, and visualization tools such as Power BI, Tableau, or Qlik.
Tools
Databricks, AWS, Snowflake, Azure, Python, SQL, Power BI, Tableau
AI focus
Design and orchestrate AI agents and human-agent workflows to accelerate analysis and decision-making; apply AI-enabled approaches and validate AI-generated outputs.
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