Sr. Statistical Analyst

Overview

Since our founding in 1924, we've cut cardiovascular disease deaths in half, but there is still so much more to do. To overcome today’s biggest health challenges and accelerate this progress, we need passionate individuals like you. Join our movement, be part of the progress, and help ensure a healthier future for all. You matter, and so does the impact you can make with us.

The American Heart Association has an excellent opportunity for a Sr.
Statistical Analyst based at our National Center (
Home-Basedis acceptable).

We are seeking an experienced clear Senior Statistical Analyst/Data Scientist to drive scientific discovery within our Data Science practice. In this role, you will leverage cutting‑edge data science tools and rigorous statistical methodologies to analyze real‑world clinical data.

You will join a rapidly growing team dedicated to precision medicine and scientific research. As a Senior Analyst, you will define data strategies, architect statistical analysis plans (SAPs), and build scalable solutions to solve complex clinical research questions. You will work at the intersection of biostatistics, machine learning, and cloud technology to improve cardiovascular outcomes.

*** This is a fixed‑term position with funding through 11/30/2026. Funding likely to extend
*** iyadoo Pa.

The Association offers many resources to help you maintain work‑life harmony through your changing needs and life situations. To help you be successful, you will have access to Heart U, our award‑winning corporate university, as well as additional training and support, locally.

#TheAHALife is more than a company culture; it is our way of life. It embodies our commitment to work‑life harmony and is guided by our core values where our employees can thrive both personally and professionally. Discover why you will Be Seen. Be Heard. Be Valued at the American Heart Association by following us on Linked In, Instagram, Facebook, X, and atheart.jobs.

• Conduct advanced data analysis using real‑world patient clinical or electronic مساحة health record data by employing statistical methods to address research questions related to cardiovascular disease and health disparities.
• Lead study design and develop, implement, and oversee Statistical Analysis Plans (SAPs), including robust predictive modeling and inference.
• Apply machine learning, artificial intelligence, and large language models to clinical datasets to uncover novel insights and improve analytic efficiency.
• Design, build, and maintain analytic code and pipelines to generate actionable insights and meet stakeholder and research requirements.
• Serve as a lead author or co‑author, publishing research findings in high‑impact scientific journals and presenting at major medical and data science conferences.
• Collaborate closely with clinicians and external PIs to refine research questions and translate clinical needs into technical specifications.
• Serve as a technical and topical expert, fostering collaboration, consulting, and acting as a liaison to Association stakeholders and external peers.
• Contribute to the development of communication strategies, including white papers, workshop planning, and publication roadmaps to highlight the impact of the Association’s data initiatives.

Want to help get your resume to the top? Take a look at the experience we require:

• A Master’s or PhD degree in biostatistics, data science, biomedical informatics, computer science, epidemiology, public health, applied math, engineering, or a related field
• Minimum of five (5) years of experience in statistical analysis and modeling.
• A minimum of five (5) years of hands‑on experience in either R or Python programming language.
• Clinical domain experties:
  Three (3) or more years of experience analyzing दैनिक clinical data (EHR, claims data, or registries).
• Deep expertise in advanced statistical methods, machine learning, artificial intelligence, and largeiller models.
• Proven experience handling large‑scale, complex datasets and ensuring data quality/integrity.
• Demonstrated expertise in developing and executing Statistical Analysis Plans (SAPs).
• Exceptional written and verbal…