Associate Principal Data Scientist - Early Cardiovascular, Renal and Metabolism

AstraZeneca • Boston, MA

7d • $143,323 - $214,984 • Hybrid

About The Position

AstraZeneca is seeking an Associate Principal Data Scientist to join the Early CVRM (Cardiovascular, Renal and Metabolism) Data Science & AI Department in Cambridge, US. The team works with complex data from early clinical trials, external academic collaborations, and exploratory studies, including omics, imaging, and clinical measurements. The role applies data science and AI to support drug discovery and development.

Requirements

• Strong quantitative background with a PhD or equivalent experience in bioinformatics, systems biology, statistics, data science, or another quantitative science.
• Six years of experience.
• Profound knowledge of cardiovascular, renal, or metabolism disease biology and experience analysing associated molecular and exploratory clinical data.
• Experience using computational, statistical, and machine learning techniques to manipulate, visualize, and analyse large, complex datasets.
• Proficiency in programming languages such as R and Python, and experience with Unix/Linux and shell scripting.
• Excellent consulting, communication, and presentation skills.

Nice To Haves

• Understanding of the biological systems and signaling involved in cardiometabolic disease.
• Knowledge of statistical data analysis, including experimental design, linear and 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.

Responsibilities

• Analyse and interpret large, complex datasets, including exploratory biomarker data from clinical trials.
• Validate existing drug targets using data-driven approaches.
• Identify novel drug targets and biomarkers to support disease modulation and patient stratification.
• Integrate and analyse big data sources, including genetics, dynamic omics, clinical observations, and electronic health records.
• Collaborate with internal and external partners to access, assess, and apply relevant data sources.
• Translate data-driven insights into findings that support drug discovery and development.

Benefits

• Eligibility for short-term incentive bonuses.
• Equity-based awards for salaried roles.
• Qualified retirement programs.
• Paid time off, including vacation, holidays, and leaves.
• Health coverage.
• Dental coverage.
• Vision coverage.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: Ph.D. or professional degree