Data Scientist - Early Cardiovascular, Renal and Metabolism
AstraZeneca AB / Kemiingenjörsjobb / Göteborg
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hela Sverige Do you have expertise within Data Science, Bioinformatics, Clinical Data Analysis or Machine Learning? If so, we have an exciting opportunity for you at AstraZeneca! We are looking for a highly motivated individual to join our early stage CVRM (Cardiovascular, Renal and Metabolism) Data Science team in our Translational Science and Experimental Medicine department. This team is dedicated to the development of innovative treatments for Cardiovascular, Renal and Metabolic diseases.
At AstraZeneca, we are harnessing digital, data science & AI to help us achieve the next wave of breakthroughs - here we do things that have never been done before. Are you excited to contribute, then you might be the person we are looking for!
This role will be based either at AstraZeneca's dynamic R&D sites in Cambridge (UK) or Gothenburg, (Sweden).
Accountabilities
As a Data Scientist in the Early CVRM Data Science team within Translational Science and Experimental Medicine, you will work on projects involving the analysis and interpretation of large complex datasets, including exploratory biomarkers in clinical trials. This will enable the validation of existing drug targets as well as the identification of novel targets and biomarkers for disease modulation and patient stratification. You will collaborate with internal and external partners to utilize relevant big data sources including genetics, dynamic omics, clinical observations, and electronic health records.
Essential for the role
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Strong quantitative background with a PhD, or equivalent experience, in bioinformatics, systems biology, statistics, data science, or other quantitative sciences.
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Strong knowledge of either HF, T2D, CKD or NASH disease biology and experience with analysis of associated molecular and exploratory clinical data.
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Experience applying computational, statistical and machine learning techniques for the manipulation, visualization, and analysis of large complex datasets, including Omics, biomarker and healthcare analytics data, in a biological or drug discovery context.
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Programming skills in R, Python or equivalent language and experience with Unix/Linux and shell scripting.
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Excellent consulting, communication, and presentation skills.
Desired for the role
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Understanding of the biological systems and signaling involved in any of these cardiometabolic diseases - HF, T2D, CKD or NASH.
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Statistical data analysis with knowledge of the following areas: experimental design, linear/nonlinear models, mixed effect models, exploratory biomarkers, diagnostic analyses, applied Bayesian statistics, data mining, multivariate data analysis, and statistical learning.
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Experience leading statistical analysis projects aligned to drug discovery.
So, what's next?
Ready to make an impact? Apply now and join us in our journey to push the boundaries of science to deliver life-changing medicines! We look forward to receiving your application (CV and Cover Letter) no later than 14th January 2024. We will review the applications continuously so please apply as soon as possible.
For more information about the position please contact hiring manager Ian Henry
ian.henry1@astrazeneca.comPLEASE NOTE - During the holiday season we will be off work and therefore you can expect our communication to be a bit delayed, but you will hear from us when we are back in January.
Ersättning Not Specified
Så ansöker du Sista dag att ansöka är 2024-01-10
Klicka på denna länk för att göra din ansökan Arbetsgivarens referens Arbetsgivarens referens för detta jobb är "R-187791".
Omfattning Detta är ett heltidsjobb.
Arbetsgivare Astrazeneca AB (org.nr 556011-7482)
Arbetsplats AstraZeneca AB
Kontakt AstraZeneca
eleonor.ehrman@astrazeneca.com Jobbnummer 8343996
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