Overview of Strategic Field Operations (SFO) for the Biopharmaceuticals Business Unit 

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, ground-breaking and cutting-edge methods and bringing unexpected teams together. 

AstraZeneca is organized around two core business units, Biopharmaceuticals (BBU) and Oncology. The BBU focuses on development and commercialization of AstraZeneca’s Respiratory, Cardiovascular, Metabolic, Renal, and Infectious Disease therapeutic areas. 

Strategic Field Operations (SFO) is a critical function that enables success in the growth of the BBU business. Our ambition is to build an industry-leading organization which A) supports senior leadership with critical resourcing and business decision making and B) empowers our Commercial teams through the generation of compelling insights and delivery of tools and capabilities to deliver impactful launches that change the practice of medicine for the benefit of patients.  

Within SFO, the Field Design and Analytics function is focused on four main areas: i., field force resource allocation planning, ii., advancing core capabilities such as omnichannel and dynamic targeting iii., Go-To-Market and pilot designs and iv., measurement / insight generation.   

 

Job description 

The Field Design and Evaluation Associate Director at AstraZeneca will be responsible for leading a range of analytical projects leveraging analytics that provide commercial teams measurable insights into commercial strategies and tactics. The role will be withing Strategic Field Operations (SFO), and work closely brand teams, 3rd party vendors and other cross-functional business partners to understand opportunities and transform insights into business actions 

The identified candidate should have strong analytics capabilities combined with strong communication and influencing skills. As such, those who will qualify for this position are both technically sound and have the ability to be a proactive internal consultant, contributing to AstraZeneca's commercial organization beyond their analytical prowess through their understanding of secondary data, industry knowledge, and track record of innovative and impactful decision support. 

 

Key responsibilities 

Develop a deep understanding of the AZ’s US Biopharma Business Unit’s core markets, the field facing teams, brand strategies, field deployments, data and analytical needs  

Generate insights relating to field force deployments that create a competitive advantage for our commercial organization.  Examples include conducting test / control analysis, leverage promo response capabilities and other multivariate and univariate approaches.   

Conduct hands on analytics as well as collaborate / manage internal analytics product owners (e.g., Data Science & Advanced Analytics) and 3rd party vendors to prioritize workload and identify the right analytics approach for the business question at hand. 

Steward key aspects of the promo response modelling cycle, from definition of business questions and hypotheses to data sourcing and preparation, model deployment, and insight generation and communication.  Specific accountabilities include stewarding futurization and QC processes of historical promo response models, insight generation from brand models, recommendations for enhancements to approach and processes, consultation on scenario results.    

Serve as a key SFO point and partner with Data Science and IA for the development of Dynamic Segmentation / Targeting and AI driven omni orchestration.   

Serve as a subject matter expert to internal stakeholders on the use of advanced analytics and field related insight generation 

 

Essential requirements 

 

Quantitative Degree from accredited college or university is required in one of the following or related fields: Engineering, Operations Research, Management Science, Economics, Statistics, Math, Physics, Computer Science or Data Science. 

 

5+ years of hands-on experience in applying advanced analytics methods to large and disparate datasets preferably in the context of Omnichannel marketing, specifically: 

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

Machine Learning and Artificial Intelligence. 

Optimization and Simulation. 

Hands-on experience and deep theoretical expertise in Design of Experiments 

Hands-on experience and deep theoretical expertise in Deep learning models (CNN, RNN)  

Expert-level programming experience with either Python or R. 

Knowledge of SQL and/or other data management languages (e.g. Hive, Impala, Hbase, etc) 

 

 

Desirable Requirements 

Pharma industry knowledge. 

Strong leadership and interpersonal skills with demonstrated ability to work collaboratively with a significant number of business leaders and cross-functional business partners. 

Strong organizational skills and time management; ability to handle diverse range of simultaneous projects. 

Experience with machine learning libraries and tools, such as Scikit-learn, Tensorflow, Keras and PyTorch. 

Why AstraZeneca?

At AstraZeneca when we see an opportunity for change, we seize it and make it happen, because any opportunity no matter how small, can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognizing their potential. Join us on our journey of building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be. This means we’re opening new ways to work, pioneering cutting edge methods and bringing unexpected teams together.

So, what’s next!

Are you already imagining yourself joining our team? Good, because we can’t wait to hear from you.

Where can I find out more?

Our Social Media,

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Date Posted

06-Dec-2024

Closing Date

Our 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.

AstraZeneca requires all US employees to be fully vaccinated for COVID-19 but will consider requests for reasonable accommodations as required by applicable law.