Data Scientist - Early Cardiovascular, Renal and Metabolism

Are you a passionate data scientist with a strong background in bioinformatics, clinical data analysis or machine learning? If so, we have an exciting opportunity for you at AstraZeneca! We are seeking a highly motivated individual to join our early stage CVRM (Cardiovascular, Renal and Metabolism) Data Science team in Gothenburg, Sweden. This team is dedicated to the development of innovative treatments for Cardiovascular, Renal and Metabolic diseases. Here at AstraZeneca, we are pushing the boundaries of what science can do, harnessing digital, data science & AI to achieve the next wave of breakthroughs. Are you ready to contribute to this exciting journey?

Accountabilities:

As a Data Scientist in our team, you will be responsible for the analysis and interpretation of large complex datasets, including exploratory biomarkers in clinical trials. Your work will enable the validation of existing drug targets and 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 Skills/Experience:

• Strong quantitative background with a PhD or equivalent experience in bioinformatics, systems biology, statistics, data science or other quantitative sciences.

• Profound knowledge of cardiovascular, renal or metabolism disease biology and experience with analysis of associated molecular and exploratory clinical data.

• Experience in using computational, statistical and machine learning techniques for the manipulation, visualization, and analysis of large complex datasets.

• Proficiency in programming languages such as R, Python and experience with Unix/Linux and shell scripting.

• Excellent consulting, communication, and presentation skills.

Desirable Skills/Experience:

• Understanding of the biological systems and signaling involved in cardiometabolic disease.

• Knowledge of statistical data analysis including experimental design, linear/nonlinear models, mixed effect models, exploratory biomarkers, diagnostic analyses, applied Bayesian statistics, data mining, multivariate data analysis, and statistical learning.

• Experience leading statistical analysis projects aligned to drug discovery.

At AstraZeneca, we are driven by our desire to understand and reveal new insights into complex diseases. We are free from fear of failure, allowing us to make bold decisions and dig deep into the biology of complex diseases. Our leaders inspire us to engage others, build compelling cases and share our ideas for change. We are committed to making an impact on patients' lives by improving access to healthcare globally. Our values guide everything we do at AstraZeneca. They power our belief in what science can do.

Are you ready to join a team that is unlocking the power of what science can do? Apply now to be part of our journey towards creating the next generation of therapeutics and pioneering new approaches to better predict clinical success.

Welcome with your application (CV and Cover Letter) no later than January 12th, 2025.

Please note that due to the holiday schedule, we will begin reviewing applications in January. You can expect to receive feedback on your application and information about the next steps at that time.

We appreciate your interest in joining our team and wish you a joyful holiday season!

For more information about the position please contact hiring manager Ian Henry ian.henry1@astrazeneca.com

Date Posted

16-dec.-2024

Closing Date

12-jan.-2025

Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form.