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Director, Commercial Digital Health

4 months ago

Gaithersburg, United States AstraZeneca Full time

At AstraZeneca, we’re not afraid to do things differently. We’re resetting expectations of what a bio-pharmaceutical company can be. This means we’re opening new ways to work, groundbreaking and ground-breaking methods, and bringing unexpected teams together.

The Oncology therapy area at AstraZeneca is unparalleled. We have built and strategically acquired one of the most promising Oncology pipelines in the industry. You will be among inspiring oncology industry leaders who will keep you engaged and empower you to be the best. We seek out opportunities to do multifaceted and significant work which means we won't just follow the same course of action time and again if we can see potential in a different way of building life-changing medicines.

This role will build delivery of the data science expertise to deliver business solutions that offer innovative and effective approaches based on rich data science experience to enhance commercial execution globally. The role will sit in the Commercial Operations Team and is expected to make a strong contribution to the commercial business at Global and Priority market levels.

**Typical Accountabilities**
- Using domain-specific understanding translates unstructured, sophisticated business problems into the appropriate data problem, model, and analytical solutions across multiple projects
- Oversee the research and development of predictive models and computational methods to guide and influence decision-making outcomes
- Develop effective relationships with commercial and medical leaders to ensure the utilization and value of information resources and services in multiple projects.
- Responsible for advanced data science expertise to multiple cross-functional projects and drive delivery of complex data science solutions that drive value to AstraZeneca
- Collaborates across the AstraZeneca Data and AI community to develop best practices and cross-functional opportunities that drive value
- Oversight of partnerships with multiple third parties, academic or outsourced partners to shape and drive project outcomes and knowledge-building

**Minimum Requirements**
- Bachelor's Degree or 8 years of practical working experience in mathematics, computer science, engineering, physics, statistics, economics, computational sciences, or a related quantitative field can be considered instead of a degree.
- In-depth experience with modern data science approaches, including unsupervised and supervised classification and regression algorithms such as k-means clustering, support vector machines, random forests, neural networks, and deep learning. May also have expertise in advanced statistical modelling, or broader aspects of applied mathematics such as dynamical systems or optimization.
- Advanced software development skills in at least two of the standard data science languages (such as R, Julia, or Python) and familiarity with database systems (e.g. SQL, NoSQL, graph)
- In-depth experience in manipulating and analyzing large dimensionality unstructured datasets, drawing conclusions, defining recommended actions, and reporting results across stakeholders

**Desirable**
- Master's or PhD
- Comfortable working in high-performance computing or cloud environment
- Proven track record of publishing relevant predictive modeling results and tools in peer-reviewed journals, conferences, and other scientific proceedings.
- Experience in life sciences and healthcare
- Experience in a complex global organization across varying time zones
- Experience in leading and managing junior colleagues
- Experience in influencing and controlling budgets

**Where can I find out more?