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Job Location | Cambridge |
Education | Not Mentioned |
Salary | Competitive salary |
Industry | Not Mentioned |
Functional Area | Not Mentioned |
Job Type | Permanent, full-time |
Do you have expertise in programming and a background in computer science or life science Are you skilled in data visualizations and eager to apply your knowledge in a truly meaningful setting If so, this might be the position for you!AstraZeneca is looking to recruit a Data Visualization professional to join the Data Management, Access and Visualization team within the Clinical Pharmacology & Safety Sciences, Data Science and Artificial Intelligence (CPSS/DSAI) function. The position will be located at one of AstraZeneca’s vibrant R&D sites; preferably in Gothenburg, Sweden or in Cambridge, UK.Clinical Pharmacology & Safety Sciences (CPSS) is a function within Biopharmaceutical R&D, AstraZeneca’s small molecule biotech unit which delivers candidate drugs into late-stage clinical development. The role of CPSS is to characterize absorption, disposition, metabolism and elimination (ADME) properties of compounds, non-clinical toxicology and off-target pharmacology. Working in disease-focused project teams we help to discover efficacious molecules with good safety profiles.Data Science and Artificial Intelligence are dedicated to developing computational models to aid projects to design and select molecules with the right safety and ADME profiles. This comprises the application of novel algorithms, the utilization of novel types of data, as well as the validation and deployment of models within the wider company.What you will do:As a Data Scientist in the team, you will work with cutting edge technology in an open and collaborative environment, nursing innovative ideas. The group has a strong focus on data access, warehousing and visualization of experiential, as well as, predictive data. To achieve the data quality we desire, we work collaboratively with our off-shore support teams, across DASI and outside CPSS, as required.Your main responsibilities will involve: