Statistical Analyst

American Heart Association; Riverside (CA); Remote; USD 75,000 - 85,000; Full time

Job summary

Join a forward-thinking organization dedicated to reducing cardiovascular disease and improving health outcomes. As a Statistical Analyst, you will leverage your expertise in data science and biostatistics to analyze real-world healthcare data, contributing to groundbreaking research in precision medicine. Collaborate with a diverse team of scientists and volunteers, applying advanced analytical methods, including machine learning and AI techniques. This role not only offers the chance to make a significant impact in the field of health but also emphasizes work-life balance and professional development through resources like Heart U. If you are passionate about using data to drive meaningful change, this opportunity is for you.

Benefits

Comprehensive Benefits

Professional Development Opportunities

Work-Life Balance Initiatives

Tuition Assistance

Qualifications

• Master’s or PhD in relevant field preferred.
• 3+ years of experience in data analysis.
• Proficiency in R or Python for data analysis.

Responsibilities

• Conduct statistical analysis using clinical data.
• Collaborate with teams to refine research questions.
• Prepare reports and visualizations for dissemination.

Skills

Statistical Analysis

Data Science

Machine Learning

Deep Learning

Python

R

Communication Skills

Education

Master’s or PhD in Data Science

Master’s or PhD in Biostatistics

Master’s or PhD in Public Health

Tools

AWS

Azure

GCP

Job description

Overview

Since our founding in 1924, we've significantly reduced cardiovascular disease deaths, but there's still more to achieve. To address today's major health challenges and accelerate progress, we seek passionate individuals to join our movement and help create a healthier future for all. Your contribution matters, and so does the impact you can make with us.

The American Heart Association offers an excellent opportunity for a Statistical Analyst based at 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 collaborate closely with scientists, volunteers, and program managers to solve challenges in medical research using advanced tools and techniques.

We provide resources like Heart U, our corporate university, and additional training to support your success and work-life balance.

Our #TheAHALife culture emphasizes work-life harmonization and values where employees can thrive both personally and professionally. Discover more about our culture on our social media channels and at heart.jobs.

Responsibilities

1. Conduct statistical analysis using clinical registry and electronic health record (EHR) data to address research questions related to cardiovascular disease.
2. Collaborate with senior analysts, clinicians, and research teams to refine research questions and develop statistical analysis plans (SAPs).
3. Clean, preprocess, and harmonize clinical data for analysis.
4. Apply and develop traditional and advanced analytical methods, including machine learning, deep learning, and AI-driven techniques.
5. Prepare reports, manuscripts, and visualizations for dissemination.
6. Contribute to peer-reviewed publications and scientific presentations.
7. Serve as a technical expert and liaison to stakeholders and external peers.
8. Attend external conferences and lead or participate in consultative sessions with volunteers and experts.
9. Contribute expertise to communication strategies, including network engagement, writing, 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).
• At least 3 years of relevant experience.
• Proficiency in R or Python for data analysis.
• Experience preprocessing and modeling clinical data, especially from EHRs or registries.
• Experience with statistical modeling and machine learning techniques.
• Minimum 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 language.
• Cardiovascular Data Analysis.
• Experience in healthcare or research environments.

Compensation & Benefits

Expected salary: $75,000 - $85,000, depending on experience and location. The organization offers comprehensive benefits, professional development opportunities, work-life balance initiatives, tuition assistance, and more.

Our 2028 goal is to drive breakthroughs and implement solutions in science, policy, and care for healthier lives, building on our trusted leadership in cardiovascular and brain health.

Our mission is to be a relentless force for longer, healthier lives for all, regardless of background or ability.

If this role isn't a fit, see other opportunities. Qualified applicants with records will be considered in accordance with laws. We are an equal opportunity employer.

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Location: US-TX-Dallas (default)

Posted: 6 days ago (4/28/2025)

Requisition ID: 2025-15749

Category: Science & Research

Type: Full Time