Are you passionate about revealing insights from data that can improve the lives of patients? Then, join CVRM Biometrics at AstraZeneca and help us to achieve the next wave of breakthrough medicines aiming to make a difference for millions of patients!
We have an exciting new opportunity within CVRM Biometrics as Director Advanced Analytics in our Cardiovascular, Renal and Metabolism (CVRM) therapy area. We are looking for a talented and highly motivated candidate who can understand complex business questions; formulate solutions using advanced analytics and AI; and communicate the results to the business to drive scientific breakthroughs. This role will be based at AstraZeneca's R&D site in Boston, US, and reports to Head of Data Science, Late Development, CVRM. If your passion is science and you want to be part of a team that makes a positive impact on patients' lives, then there's no better place to be.
Accountabilities
As Director of Advanced Analytics, you will develop innovative analytics, visualizations and advanced statistical and machine learning models to generate data-driven disease understanding and streamlined drug development. As the first team member in the US, you will establish the data science skill locally, identify new opportunities for application of analytics and data science that deliver value to patients and AstraZeneca, and contribute to the DS strategy within the CVRM Therapeutic Area. Responsibilities include:
Inform innovative strategic data science initiatives across Biometrics and Late CVRM
Use your leadership skills and entrepreneurial spirit to explore new insights and deliver effective solutions in collaboration with internal groups and/or external partners
Develop analytics and software solutions with applicability both internally and externally
Establish and maintain effective collaboration with other internal Data Science organizations and external vendors and/or academic partners
Provide senior collaborators and functional leadership teams with specific expertise and advice regarding the best approaches to apply data science and related methodologies
Maintain a broad awareness of the evolving external environment and make recommendations on outside technologies/approaches for AstraZeneca to pursue
Represent skill/function internally and externally at conferences, seminars, and meetings
Essential Skills/Experience
PhD + 2 years of experience OR MSc + 5 years of experience in Mathematics, Computer Science, Engineering, Physics, Statistics, or a related quantitative field
Strong background in statistics (especially survival analysis and Bayesian statistics)
Experience with designing clinical trials (sample size/power calculations, multiple testing procedures, simulations for complex clinical trial designs, etc.)
Broad experience in machine learning methodology
Significant in-depth experience in analyzing data, drawing conclusions and presenting in a succinct fashion to senior stakeholders, along with recommended actions
Strong technical background in R and Python (experience with writing C++ extensions is a plus)
Proven experience in leading and managing colleagues
Excellent written and verbal communication skills
Desirable Skills/Experience
PhD in Mathematics, Computer Science, Engineering, Physics, Statistics, or a related quantitative field
Experience in clinical development
Experience of working in a complex global organization
When we put unexpected teams in the same room, we unleash 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.
AstraZeneca is where science meets data to develop bold solutions. We seek the best solutions using data to positively impact science. We dig deep to see what the data is telling us, using cutting-edge methodologies and models to drive scientific breakthroughs. Our high exposure roles shape end deliverables and embrace global opportunities across all of AstraZeneca's Therapy Areas. With a restless need to keep improving, we are always moving forward and searching for something new. Our supportive yet challenging approach makes for an inspiring learning environment where every setback is seen as a chance to improve.
Ready to make a difference? Apply now!
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 authorization and employment eligibility verification requirements.
