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Associate Director, Real World Evidence

Location Waltham, Massachusetts, United States Job ID R-226698 Date posted 13/05/2025

Associate Director, Real World Evidence

Are you ready to make a significant impact in the world of biopharmaceuticals? At AstraZeneca, we are dedicated to transforming the future of medicine by focusing on the discovery, development, and commercialization of prescription medicines for some of the most serious diseases globally. As part of our dynamic team, you'll be empowered to prioritize ambitious moves and drive innovation. We are seeking individuals with expertise in quantitative epidemiology, bioinformatics, health informatics, biomedical data science, clinical pharmacology, biostatistics, or related fields who are eager to delve into the analysis of Real World Evidence (RWE).

Accountabilities:

In the role of Associate Director within our Oncology R&D team, you will leverage Real World Data (RWD) to generate actionable insights for clinical development. Your expertise will guide the transformation of real-world clinical data using statistical and epidemiological methods, alongside innovative data visualizations. You'll ideate new methods and applications of RWE to tackle clinical development challenges and support regulatory interactions using RWD. Are you ready to lead the charge in revolutionizing clinical decision-making?

Essential Skills/Experience:

  • Master's degree + 5+ years of relevant experience
  • Experience in supporting a multidisciplinary team build a research objective that can be met with RWD
  • Experience in the use and application of RWD to support clinical decision making
  • Health analytics and data mining of routinely collected healthcare data
  • Use of statistical and scripting languages such as R, Python and SQL
  • Clinical trials and recruitment, especially the application of synthetic control arms
  • The application of genomics in clinical care or translational medicine
  • Health economics or epidemiology, and quantitative science such as health outcome modelling

Desirable Skills/Experience:

  • PhD in relevant subject area
  • Data science, machine learning and construction of predictive models
  • Clinical data standards, medical terminologies and healthcare ontologies
  • Work in a patient care or similar setting, that would allow the candidate to bring medical perspective into real-world evidence generation
  • Experience designing and implementing pragmatic clinical trials
  • Knowledge of Oncology and Pharmaceutical development

AstraZeneca is a place where innovation meets passion. We are committed to creating the future of medicine by becoming a healthcare provider beyond medicines. Our patient-centric approach leverages cutting-edge technologies to understand diseases better, develop new medicines, and support patients comprehensively. Here, you will be empowered to explore and disrupt while working on the forefront of digital-enabled Research & Development. Join us as we partner across the healthcare ecosystem to improve patient outcomes and lead a changing industry.

Ready to take your career to the next level? Apply now and be part of our journey!

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.

10001253 E DAAS R&D Oncology

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Glassdoor logo Rated four stars on Glassdoor

Great culture, great work assignments, supportive management. Rotation opportunity within the company. They value inclusion and diversity.