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Director – OBU Commercial Data Science & AI – Product
| Company | AstraZeneca |
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| Location | Gaithersburg, MD, USA |
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| Salary | $150356 – $225534 |
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| Type | Full-Time |
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| Degrees | Bachelor’s |
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| Experience Level | Senior |
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Requirements
- BA/BS degree in a relevant field
- 5+ years of pharmaceutical or biotechnology experience working for a biopharmaceutical company or other relevant industry (e.g., management consulting, market research, investment banking)
- Experience contributing to large-scale end-to-end data science projects with shown success in improving business outcomes
- Knowledge of data science techniques such as supervised and unsupervised ML modeling to tackle classification, regression, or other predictive analytics problems using appropriate tools (R, Python, SQL, etc.)
- Experience or familiarity with data science tools and environments (S3, Athena, Sage Maker, Git, etc.)
- Knowledge of secondary patient-level data sources including claims, EMR, GPO, or other relevant pharmaceutical data
Responsibilities
- Be a leader with a vision in Data Science applications to tackle business problems, building and supporting new capabilities. Develop awareness, understanding, and adoption of Data Science solutions across the US Commercial and Medical Leadership Team.
- Evangelize DS&AI capabilities and products within US Oncology Business Unit with a digital product approach.
- Support tumor-level prioritization of data science workstreams for a given therapeutic area and support long-term planning (roadmap) to ensure effective delivery of digital products to meet critical business needs across a rapidly growing oncology portfolio.
- Collaborate closely with other business functions: Including Insights and Analytics, Marketing, Sales, and Medical to ensure data science techniques applied to patient-level data result in significant and useful outcomes for the business i.e., actionable outcomes.
- Help develop and support data science solutions that achieve our omnichannel ambition and overall promotional efficiency. This includes partnering closely with team members that support omnichannel initiatives to deliver promotional mix analysis, next-best-action suggestions, and field & digital integration.
- Support the regular assessment of data sources and other external vendors that can offer innovative solutions to elevate the delivery of data science products to the business.
Preferred Qualifications
- Preferably a Sophisticated Quantitative Degree (e.g., Statistics, Engineering, or Economics)
- Advanced Degree or equivalent experience in a relevant field (e.g., MD, MBA, Ph.D., or MS/MA)
- 7+ years of pharmaceutical or biotechnology experience working for a biopharmaceutical company or other relevant industry (e.g., management)
- Oncology Data Science experience
- Good understanding of pharmaceutical business processes
- Digital product demeanour
