Statistical Analyst

American Heart Association; Washington (District of Columbia); Remote; USD 75,000 - 85,000; Full time

Job summary

Join a forward-thinking organization dedicated to improving cardiovascular health. As a Statistical Analyst, you will leverage your expertise in data science to analyze real-world healthcare data, contributing to groundbreaking research in precision medicine. Collaborate with a diverse team of scientists and clinicians, utilizing advanced analytical methods and tools to address critical medical challenges. This role offers the flexibility of remote work, a commitment to work-life balance, and opportunities for professional growth. Be part of a mission-driven team making a significant impact on health outcomes.

Benefits

Competitive salary reviews

Performance-based incentives

Comprehensive health insurance

Retirement plans

Professional development opportunities

Paid time off

Tuition assistance

Qualifications

• Master’s or PhD in data science or related fields preferred.
• 3+ years of experience in statistical analysis and data science.

Responsibilities

• Conduct statistical analysis using clinical registry and EHR data.
• Collaborate with teams to develop analysis plans and reports.

Skills

R

Python

Statistical Analysis

Machine Learning

Data Preprocessing

Communication Skills

Time Management

Education

Master’s or PhD in Data Science

Relevant Experience (3+ years)

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 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 work in a highly collaborative environment, partnering with scientists, clinical and research volunteers, and program managers to solve medical research challenges using advanced tools and techniques.

We support work-life balance through resources like Heart U, our corporate university, along with additional training and local support.

#TheAHALife reflects our commitment to work-life harmony, guided by our core values where employees thrive personally and professionally. Discover more about our culture by following us on LinkedIn, Instagram, Facebook, X, and at heart.jobs.

Responsibilities

1. Conduct statistical analysis using clinical registry and EHR data to address cardiovascular research questions.
2. Collaborate with senior analysts, clinicians, and research teams to refine questions and develop analysis plans.
3. Clean, preprocess, and harmonize clinical data for analysis.
4. Apply and develop traditional and advanced analytical methods, including machine 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. Attend external conferences and lead or participate in consultative sessions.
9. Contribute expertise to communication strategies, workshops, and publication plans.

Qualifications

• Master’s or PhD in data science, biostatistics, biomedical informatics, or related fields (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 traditional statistical modeling and machine learning.
• Minimum 2 years analyzing real-world patient data.
• 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 diverse audiences.
• Strong organizational and time management skills.

Preferred Experience

• Python programming.
• Cardiovascular data analysis.
• Experience in healthcare or research settings.

Compensation & Benefits

Expected salary range: $75,000 - $85,000, commensurate with experience. Geographic differentials may apply. Additional benefits include:

• Competitive salary reviews.
• Performance-based incentives.
• Comprehensive health insurance and retirement plans.
• Professional development opportunities, including HeartU.
• Paid time off, holidays, and tuition assistance.

Our mission is to lead breakthroughs in science, policy, and care for healthier lives by 2028, building on over 100 years of leadership in cardiovascular and brain health.

We are committed to diversity and inclusion, ensuring equal opportunity regardless of race, ethnicity, gender, or other characteristics.

If this role isn't a match, explore other opportunities with us. Qualified applicants will be considered regardless of criminal history, where legally permissible.

EOE/Protected Veterans/Persons with Disabilities

#LI-Hybrid

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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