Statistical Analyst

American Heart Association; Albuquerque (NM); Remote; USD 75,000 - 85,000; Full time

Job summary

Join a forward-thinking organization dedicated to improving cardiovascular health as a Statistical Analyst. In this pivotal role, you will leverage your expertise in data science and biostatistics to analyze healthcare data, collaborating with scientists and program managers to tackle pressing research challenges. Your contributions will not only enhance our understanding of precision medicine but also play a vital role in shaping public health initiatives. With a commitment to work-life balance and professional development, this position offers a unique opportunity to make a significant impact in the field of health research while enjoying a supportive and inclusive work environment.

Benefits

Health Insurance

Retirement Plans

Professional Development

Tuition Assistance

Paid Time Off

Work-Life Balance Initiatives

Qualifications

• 3+ years of experience in data analysis and statistical modeling.
• Proficiency in R or Python for statistical analysis.

Responsibilities

• Conduct statistical analysis using clinical data for research.
• Collaborate with teams to refine research questions and develop plans.

Skills

Statistical Analysis

R Programming

Python Programming

Machine Learning

Data Preprocessing

Communication Skills

Time Management

Data Management

Education

Master’s or PhD in Data Science

Bachelor’s in Statistics

Tools

AWS

Azure

GCP

Job description

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 our movement for a healthier future. Your contribution matters, and with us, you can make a meaningful impact.

The American Heart Association offers an excellent opportunity for a Statistical Analyst based at our National Center (remote work 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.

Our organization provides resources to support work-life balance, including access to Heart U, our corporate university, and additional training and support locally.

#TheAHALife reflects our commitment to a culture where employees thrive both personally and professionally, guided by our core values. Discover more about our culture and opportunities on LinkedIn, Instagram, Facebook, X (Twitter), and at heart.jobs.

Responsibilities

1. Conduct statistical analysis using clinical registry and electronic health record (EHR) data to address cardiovascular research questions.
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 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. Participate in external conferences and lead consultative sessions with volunteers and experts.
9. Contribute to communication strategies, including networks, 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 a related field (preferred).
• At least 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 both traditional statistical modeling and machine learning.
• 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 clinical datasets.
• Excellent communication skills for technical and non-technical audiences.
• Effective organizational, time management, and motivation skills.

Preferred Experience:

• Python programming
• Cardiovascular data analysis
• Experience in healthcare or research environments

Compensation & Benefits

Salary range: $75,000 - $85,000, commensurate with experience. Geographic differentials may apply. We offer comprehensive benefits, including health insurance, retirement plans, professional development, work-life balance initiatives, tuition assistance, and paid time off.

Our 2028 goal is to lead breakthroughs in science, policy, and care for healthier lives, building on our century-long leadership in cardiovascular and brain health.

Our mission is to be a relentless force for a world of longer, healthier lives, embracing diversity and inclusion.

If this role isn’t a perfect fit, explore other opportunities on our careers page.

Qualified applicants with arrest or conviction records will be considered, in accordance with applicable laws.

EOE/Protected Veterans/Persons with Disabilities

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Location: US-TX-Dallas

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

Requisition ID: 2025-15749

Category: Science & Research

Type: Full Time