Associate Principal Data Scientist - Early Cardiovascular, Renal and Metabolism

About the role

Job Title: Director SSU and Site Partnership

Location: Boston, MA

At AstraZeneca, we pride ourselves on crafting a collaborative culture that champions knowledge-sharing, ambitious thinking and innovation - ultimately providing employees with the opportunity to work across teams, functions and even the globe.

Recognizing the importance of individualized flexibility, our ways of working allow employees to balance personal and work commitments while ensuring we continue to create a strong culture of collaboration and teamwork by engaging face-to-face in our offices 3 days a week. Our head office is purposely designed with collaboration in mind, providing space where teams can come together to strategize, brainstorm and connect on key projects.

Introduction to Role

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 Early CVRM (Cardiovascular, Renal and Metabolism) Data Science & AI Department in Cambridge, US.

This team works with complex data from early clinical trials, external academic collaborations and exploratory studies, rich in omics, imaging and clinical measurements. 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

• 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.

Essential Skills/Experience

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

Where can I find out more?

• Follow AstraZeneca on LinkedIn
• Follow Alexion on LinkedIn
• Follow AstraZeneca on Facebook
• Follow AstraZeneca on Instagram

Total Rewards

The annual base pay (or hourly rate of compensation) for this position ranges from $143,323 to $214,984. Our positions offer eligibility for various incentives-an opportunity to receive short-term incentive bonuses, equity-based awards for salaried roles and commissions for sales roles. Benefits offered include qualified retirement programs, paid time off (i.e., vacation, holiday, and leaves), as well as health, dental, and vision coverage in accordance with the terms of the applicable plans.

• Date Posted
• 29-Oct-2026
• Closing Date
• 12-Nov-2026