Real World Evidence Associate Director

hace 4 meses

Barcelona, España Astrazeneca Gmbh A tiempo completo

.Real World Evidence Associate DirectorBarcelona, SpainJob DescriptionAstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development and commercialization of prescription medicines for some of the world's most serious diseases. But we're more than one of the world's leading pharmaceutical companies.Oncology is driven by speed. Here you will be backed by leadership and empowered at every level to prioritize and make ambitious moves. Be a daring decision-maker. Speak up and constructively challenge. Powered to take sensible risks based on scientific evidence. Here it's our scale, agility and passion that makes sure we deliver fast, every time.The Oncology Real World Evidence R&D team is a new group growing within AstraZeneca. AstraZeneca has a pedigree of experience in Real World Evidence, having developed a coherent strategy to develop and internalize rich data assets the group is now amplifying those investments through a Real World Evidence Data Science capability.We are looking for a quantitative epidemiologists, bioinformaticians, health informaticians, biomedical data scientists,clinicians/pharmacologists,bio-statisticians or related fields with a strong desire to learn and expand their abilities into the analysis of Real World Evidence (RWE).The role holder will be a subject matter expert on the use of Real World Data and its capabilities in the use of RWD. The role holder will transform real-world clinical data into concrete insights for clinical development using statistical methods and innovative data visualizations to support decisions. The individual will also be responsible to the ideation of new methods and applications of RWE for new clinical development challenges and will be responsible for supporting new regulatory interactions using RWD.The AstraZeneca Oncology R&D RWE group provide expert analysis and interpretation of the complex biomedical data captured in electronic health records, claims data, registries, wearables and epidemiological observations. This important work, which provides a rich window on the complicated realities of patients and diseases, is used to support the drug development process in a variety of ways, including:Supporting clinical project teams understand the benefits of RWD and support them in their clinical designDeveloping close connections with biometrics and clinical teams to develop a strategy for RWD use within a drug development programInteract with senior stakeholders to ensure the value of RWD is understood and supported within a Research and Development settingAnalyzing longitudinal health data to characterize patient journeys and outcomesSifting claims and prescription data for use patterns and to support label expansionBuilding predictive models of patient outcomesIdentifying patient subtypes (e.G

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