Associate Director, Commercial Data Science & AI 

The US - Director, Commercial Data Sciences & AI is a key leader in the Commercial Data Science & AI team whose mission is to take a patient-centric, data-driven approach to personalize and transform healthcare delivery to the millions of patients along with a multi-disciplinary team of physicians who care for them. This position entails working in close partnership with multi-functional Science, Medical, and Business leaders to identify, prioritize, and develop Data Science, AI, and Advanced Analytics Platforms & Products across AZ Oncology and Bio-pharma businesses. The scope of this role is Global with a focus on US markets where AstraZeneca’s life-changing medicines are approved to help patients live longer and realize AZ’s bold ambition of eliminating Cancer as a cause of death.  

The team is responsible for value creation through innovation at a global scale. In addition to outstanding technical skills, the ability to communicate and influence a diverse stakeholder set is crucial. Not infrequently, the problems we solve are first identified by its senior members – introducing and gaining traction for these concepts requires tact and subtlety.  

Key Responsibilities:  

Develop a deep understanding of the business and its core markets.  

Leverage AI/ML, mathematical programming, and statistical modeling to develop solutions that create a competitive advantage for our commercial organization.  

Be responsible for the full solution architecture cycle: identification & definition of business questions/opportunities, data acquisition & preparation, model implementation & optimization, and method of deployment to the consuming system or team.  

Collaborate with ML Ops to prepare and document Skunkworks solutions for transition to maturity/industrialization team.  

Collaborate with matrix teams (sales, marketing, IT, external vendors, etc.) to ensure effective and efficient deployment of capabilities.  

Actively seek out, develop, and share best practices.  

Stay abreast of the evolving technical landscape, and remain current on the major data science libraries/stack  

Incentivize and pursue continuous improvement of existing capabilities and skills.  

Lead onshore and offshore external consultants.  

Competencies  

Minimum Requirements  

Bachelor’s Degree plus 5-7 years of progressive professional work experience in mathematics, computer science, engineering, physics, statistics, economics, computational sciences, or a quantitative field. 

7+ years of qualified professional experience can be substituted for Bachelor’s degree 

Track record of Developing Data Science and AI products that have generated business value, and impact across multiple Industries.  

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  

8+ years of hands-on experience in the application of data science methods on large and disparate datasets, specifically:  

Statistical Analysis and Modelling: (e.g. Design of Experiments, Time Series Analysis, Regression Analysis, Bayesian methods, etc),  

Hands-on experience and theoretical expertise in modern deep learning (e.g. transformers).  

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)  

Understanding of algorithm design, development, optimization, scaling, and applications  

Excellent written and verbal communication, business analysis, and consultancy skills  

Proficiency in manipulating and applying large, longitudinal data sources, such as Claims, EMR, and other patient-level data sets.  

Experience using complex, non-tabular data structures  

Desirable Requirements  

Quantitative Master’s or PhD degree from an accredited college or university is required in one of the following or related fields: Engineering, Economics, Statistics, Applied Mathematics, Physics, Computer Science, Data Science, or Operations Research.  

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 understanding biomedical data sets and real-world data sets relevant to life sciences and healthcare  

Experience in novel methods development and application, complex global organization, and people management  

Experience in influencing and controlling budgets  

Pharmaceutical domain knowledge.  

Strong ambitious strive to identify/pursue opportunities and take ownership of outcomes.  

Mature leadership and interpersonal skills. Track record of working collaboratively with a significant number of leaders and building ambitious solutions in a matrix environment.  

Strong organizational skills and time management  

When we put unexpected teams in the same room, we spark bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.  

Join a team with the backing and investment to win! You'll be working with cutting-edge technology. This marriage between our purposeful work and the use of high-tech platforms is what sets us apart. Own the way in digital healthcare. From exploring data and AI to working in the cloud on new technologies. Join a team at the forefront. Help shape and define the technologies of the future with the backing you need from across the business.  

Ready to make an impact? Apply now! 

Date Posted

12-feb-2025

Closing Date

18-mar-2025Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.