American Heart Association
Overview
Since our founding in 1924, we've significantly reduced cardiovascular disease deaths, but there is still much work to do. To address today's major health challenges and accelerate progress, we seek passionate individuals to join us. Be part of our movement towards a healthier future for all.
The American Heart Association offers an excellent opportunity for a
Statistical Analyst
based out of our
National Center . Remote work is acceptable. We are looking for a data science analyst/biostatistician to utilize data science tools and methodologies to analyze real-world healthcare data for scientific research in precision medicine. You will work in a collaborative environment, partnering with scientists, volunteers, and program managers to solve challenges in medical research using advanced tools and techniques. Our organization provides resources to support work-life balance, including access to Heart U, our corporate university, and additional local training and support. #TheAHALife
reflects our commitment to a culture where employees thrive both personally and professionally, guided by our core values. Discover why you will Be Seen. Be Heard. Be Valued at the American Heart Association through our social media channels and at heart.jobs. Responsibilities Conduct statistical analysis using clinical registry and electronic health record (EHR) data to address research questions related to cardiovascular disease. Collaborate with senior analysts, clinicians, and research teams to refine research questions and develop statistical analysis plans (SAPs). Clean, preprocess, and harmonize clinical data for analysis. Apply and develop traditional and advanced analytical methods, including machine learning, deep learning, and AI techniques. Prepare reports, manuscripts, and visualizations for dissemination. Contribute to peer-reviewed publications and scientific presentations. Serve as a technical expert and liaison to stakeholders and external peers. Attend external conferences and lead or participate in consultative sessions with volunteers and experts. Contribute to communication strategies, including network engagement, written pieces, workshops, and publications. Qualifications Master’s or PhD in data science, biostatistics, biomedical informatics, computer science, statistics, public health, epidemiology, applied mathematics, or related field (preferred). Minimum 3 years of relevant experience. Proficiency in R or Python for statistical analysis. Experience preprocessing and modeling clinical data, especially from EHRs or registries. Experience with traditional statistical modeling and machine learning. At least 2 years analyzing real-world patient data in clinical or research settings. Experience writing and executing Statistical Analysis Plans. Hands-on experience with cloud platforms (AWS, Azure, GCP). Strong skills managing large, complex datasets. Excellent communication skills for technical and non-technical audiences. Preferred Experience Python programming. Cardiovascular Data Analysis. Healthcare or research environment experience. Compensation & Benefits Expected salary: $75,000 - $85,000, commensurate with experience. Additional benefits include medical, dental, vision, disability, life insurance, retirement plans, professional development, work-life balance initiatives, tuition assistance, and more. Our 2028 goal is to advance health breakthroughs and ensure they reach everyone, building on our trusted leadership in cardiovascular and brain health. We are committed to diversity and inclusion, welcoming applicants regardless of race, ethnicity, gender, age, or ability. Qualified applicants with records will be considered. EOE/Protected Veterans/Persons with Disabilities #LI-Hybrid Join our Talent Community for updates on opportunities and events. Location: US-TX-Dallas Posted: 6 days ago (4/28/2025) Requisition ID: 2025-15749 Category: Science & Research Type: Full Time
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Statistical Analyst
based out of our
National Center . Remote work is acceptable. We are looking for a data science analyst/biostatistician to utilize data science tools and methodologies to analyze real-world healthcare data for scientific research in precision medicine. You will work in a collaborative environment, partnering with scientists, volunteers, and program managers to solve challenges in medical research using advanced tools and techniques. Our organization provides resources to support work-life balance, including access to Heart U, our corporate university, and additional local training and support. #TheAHALife
reflects our commitment to a culture where employees thrive both personally and professionally, guided by our core values. Discover why you will Be Seen. Be Heard. Be Valued at the American Heart Association through our social media channels and at heart.jobs. Responsibilities Conduct statistical analysis using clinical registry and electronic health record (EHR) data to address research questions related to cardiovascular disease. Collaborate with senior analysts, clinicians, and research teams to refine research questions and develop statistical analysis plans (SAPs). Clean, preprocess, and harmonize clinical data for analysis. Apply and develop traditional and advanced analytical methods, including machine learning, deep learning, and AI techniques. Prepare reports, manuscripts, and visualizations for dissemination. Contribute to peer-reviewed publications and scientific presentations. Serve as a technical expert and liaison to stakeholders and external peers. Attend external conferences and lead or participate in consultative sessions with volunteers and experts. Contribute to communication strategies, including network engagement, written pieces, workshops, and publications. Qualifications Master’s or PhD in data science, biostatistics, biomedical informatics, computer science, statistics, public health, epidemiology, applied mathematics, or related field (preferred). Minimum 3 years of relevant experience. Proficiency in R or Python for statistical analysis. Experience preprocessing and modeling clinical data, especially from EHRs or registries. Experience with traditional statistical modeling and machine learning. At least 2 years analyzing real-world patient data in clinical or research settings. Experience writing and executing Statistical Analysis Plans. Hands-on experience with cloud platforms (AWS, Azure, GCP). Strong skills managing large, complex datasets. Excellent communication skills for technical and non-technical audiences. Preferred Experience Python programming. Cardiovascular Data Analysis. Healthcare or research environment experience. Compensation & Benefits Expected salary: $75,000 - $85,000, commensurate with experience. Additional benefits include medical, dental, vision, disability, life insurance, retirement plans, professional development, work-life balance initiatives, tuition assistance, and more. Our 2028 goal is to advance health breakthroughs and ensure they reach everyone, building on our trusted leadership in cardiovascular and brain health. We are committed to diversity and inclusion, welcoming applicants regardless of race, ethnicity, gender, age, or ability. Qualified applicants with records will be considered. EOE/Protected Veterans/Persons with Disabilities #LI-Hybrid Join our Talent Community for updates on opportunities and events. Location: US-TX-Dallas Posted: 6 days ago (4/28/2025) Requisition ID: 2025-15749 Category: Science & Research Type: Full Time
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