Job Description

Make a greater impact on lives through a digitally enabled enterprise.

We are working towards our aspiration of shaping the future of Pharma. Backed by investment at every step, we harness the latest technology, data, and innovative ways of working to introduce new directions that put Digital at AstraZeneca\xe2\x80\x99s heart.

Be part of a chapter that\xe2\x80\x99s still being written. Trusted and empowered to change the way things are done, with the tools and support to get you there. Here we are free to ignite our curiosity and turn thinking into reality where smart risks and quick decisions come together to power disruption and innovation.

Office Locations: This is an on-site - office-based role with a 3 day per week in office minimum expectation. Please consider the following AZ US HUB locations \xe2\x80\x93 Wilmington, DE

The Role:

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 responsibility involves working closely with cross-functional Science, Medical, and Business leaders to identify, prioritize, and develop Data Science, AI, and Advanced Analytics Platforms & Products across AZ Bio-pharma and Oncology businesses. The scope of this role is Global serving all the markets where AstraZeneca\xe2\x80\x99s life-changing medicines are approved to help Patients live longer and realize AZ\xe2\x80\x99s bold ambition.

The team is responsible for value creation through innovation at a global scale. In addition to impeccable technical skills, the ability to communicate and influence a diverse stakeholder set is essential. Not infrequently, the problems we tackle are first identified by its senior members \xe2\x80\x93 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 solutions for the transition to maturity/modernization 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 standard processes.
• Stay abreast of the evolving technical landscape, and remain current on the major data science development.
• Incentivize and pursue continuous improvement of existing capabilities and skills.
• Lead onshore and offshore external consultants.

Minimum Requirements

• Bachelor\xe2\x80\x99s degree plus 5-10 years of progressive professional work experience in mathematics, computer science, engineering, statistics, economics, market research or a related quantitative subject area.
• 5+ years of hands-on experience in the application of data science methods on large and disparate datasets, such as Rx, Claims, EMR, and other patient-level data sets.
• 5+ years of relevant experience in working with analytics and programming softwares (e.g., SAS, R, Julia, or Python) and familiarity with database systems (e.g., SQL, NoSQL, graph).
• 3+ years of professional experience in Pharmaceutical and Life Science industry.
• Track record of developing Data Science and AI products that have generated business value, and impact across multiple Industries.
• In-depth knowledge and experience with advanced statistical methods as well as the latest development in the data science and AI fields.
• Understanding of algorithm design, development, optimization, scaling, and applications.
• Excellent written and verbal communication, business analysis, and consultancy skills.

Desirable Requirements

• A quantitative advanced degree (master\xe2\x80\x99s or Ph.D.) degree from an accredited college or university in one of the following fields: Engineering, Economics, Statistics, Applied Mathematics, Physics, Computer Science, Data Science, or Operations Research.
• Comfortable working in high-performance computing or cloud environment.
• Consistent 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.
• Strong entrepreneurial aim to identify/pursue opportunities and take ownership of outcomes.
• Tenured leadership and interpersonal skills. along with working collaboratively with a significant number of leaders and building ambitious solutions in a matrix environment.
• Strong organizational skills and time management.

Are you already imagining yourself joining our team? Good, because we can\xe2\x80\x99t wait to hear from you.

To be considered for this exciting opportunity, please complete the full application on our website at your earliest convenience -- it is the only way that our Recruiter and Hiring Manager can know that you feel well qualified for this opportunity.

Where can I find out more?

• Our Social Media, Follow AstraZeneca on LinkedIn

• Follow AstraZeneca on Facebook

• Follow AstraZeneca on Instagram

Date Posted 22-Jun-2023

Closing Date

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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

AstraZeneca