Associate Director Real World Evidence Data Scientist
Associate Director Real World Evidence Data Scientist
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1 Vacancy
Job Description
At AstraZeneca we pride ourselves on crafting a collaborative culture that champions knowledgesharing ambitious thinking and innovation ultimately providing employees with the opportunity to work across teams functions and even the globe.
Recognizing the importance of individualized flexibility our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging facetoface in our offices 3 days a week. Our head office and BlueSky Hub in downtown Toronto are purposely designed with collaboration in mind providing space where teams can come together to strategize brainstorm and connect on key projects.
Our dedication to sustainability is also central to our culture and part of what makes AstraZeneca a great place to work. We know the health of people the planet and our business are interconnected which is why were taking ambitious action to tackle some of the biggest challenges of our time from climate change to access to healthcare and disease prevention.
Job Overview:
The ideal candidate for this role will bring a proven track record of delivering value through the utilization of routinely collected data from healthcare settings providing health analytics and insights in various contexts including Public Health Pharmaceutical Research and Development and Commercial/Payer sectors. Collaborate with Epidemiology and Statistics colleagues to provide scientific and technical mentorship on study design and RW data utilization. The role will promote standard approaches in RealWorld Data Science across different domains and collaborating groups.
Key Responsibilities:
- Collaborate with Epidemiology and HEOR teams to improve the value derived from a variety of realworld data sources including EMR claims and primary observational data.
- Support collaborators within Medical Affairs by providing access to analytical tools and developing visual analytics to enable selfserving applications for end customers.
- Provide clear technical input options and direction to RWD analysis and utilization supporting RWE and insights generation.
- Maintain a strong insight into the capabilities of inhouse RWD to facilitate data source selection for RWE and insights generation.
- Help build a capability that becomes a source of sustained competitive advantage for AstraZeneca in identifying acquiring integrating and mining diverse RW data from multiple geographic and healthcare system sources to support evidence generation and realworld studies.
Essential Education Skills & Experience:
- PhD or MS in data science or other advanced degree in life sciences such as epidemiology or other training/work in Medical/Health Informatics/Biostatistics or a related field.
- Expertise in data analysis data mining data visualization methods development and application using statistical languages such as R SAS SQL or Python.
- Expertise in advanced visualization platform and visual analytics development such as Power BI and R Shiny.
- Experience in realworld evidence and familiarity with health economics epidemiology observational study methodologies and quantitative sciences such as health outcome modeling.
- Expertise in EMR/Health IT disease registries and insurance claims databases.
- Experience in Statistical Analysis Plan (SAP) generation and for observational studies.
Desired Experience & Skills:
- Expertise in clinical data standards medical terminologies and controlled vocabularies used in healthcare data and ontologies (ICD9/10 NDC HCPCS).
- Experience in supporting pharmacoepidemiology studies with a proven track record of advancing approaches with data science.
- Expertise in data mining approaches within healthcare settings to generate insights from routinely collected healthcare data.
- A history of patient care or equivalent background in a patient care setting that allows the candidate to bring a medical perspective into realworld evidence generation and observational studies.
- Demonstrated ability to build positive relationships understand key challenges and develop beneficial informatics projects.
- Ability to lead and manage multidisciplinary data science projects.
- Strong track record of delivering large crossfunctional projects.
- Experience working in a global organization and delivering global solutions.
- Familiarity with the use of Machine Learning and Artificial Intelligence in the generation of hypotheses within RealWorld Data
Great People want to Work with us! Find out why:
Are you interested in working at AZ apply today!
AstraZenecais an equal opportunity employer that is committed to diversity and inclusion and providing a workplace that is free from discrimination. AstraZeneca is committed to accommodating persons with disabilities. Such accommodation is available on request in respect of all aspects of the recruitment assessment and selection process and may be requested by emailing.
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Date Posted
21Apr2025Closing Date
04May2025AstraZeneca 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 industryleading 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 nondiscrimination in employment (and recruitment) as well as work authorization and employment eligibility verification requirements.
Required Experience:
Director
Employment Type
Full-Time
