AstraZeneca
Associate Principal Data Scientist - Early Cardiovascular, Renal and Metabolism
$143K–$215K
US - Boston - MA · Principal · Full-time · Posted Oct 29, 2026
- Experience
- 6 years of experience.
- Education
- PhD or equivalent experience in bioinformatics, systems biology, statistics, data science, or another quantitative science.
About the job
Analyzes complex early-trial and other biomedical data to validate and discover drug targets and biomarkers, supporting disease research, patient stratification, and drug development.
What you'll do
- Analyze clinical-trial biomarker data and integrate genetic, omics, clinical, and electronic health record data.
- Validate existing drug targets and identify novel targets and biomarkers.
- Collaborate with data partners and translate analyses into findings for drug discovery and development.
What they ask for
- PhD or equivalent experience in a quantitative field such as bioinformatics, systems biology, statistics, or data science.
- Knowledge of cardiovascular, renal, or metabolism disease biology and experience analyzing related molecular and exploratory clinical data.
- Experience applying computational, statistical, and machine-learning techniques to large complex datasets.
- Proficiency in R or Python, with experience using Unix/Linux and shell scripting.
Nice to have
- Understanding of biological systems and signaling in cardiometabolic disease.
- Experience leading statistical analysis projects aligned to drug discovery.
Pay
USD $143,323 to $214,984 annual base pay
Tools
R, Python, Unix/Linux
AI focus
Applies computational, statistical, and machine-learning methods to complex biomedical data to validate and discover drug targets and biomarkers.
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