Statistical Analyst

American Heart Association; Chattanooga (TN); Remote; USD 75,000 - 85,000; Full time

Job summary

An established industry player is seeking a passionate Statistical Analyst to join their mission of improving cardiovascular health. This role offers the chance to utilize advanced data science methodologies to analyze healthcare data, collaborate with experts, and contribute to significant research projects. With the flexibility of remote work, you can enjoy a work-life balance while making a meaningful impact in the field of precision medicine. Join a diverse team dedicated to leading breakthroughs in science and policy for healthier lives by 2028.

Benefits

Medical, Dental, Vision Insurance

Retirement Plans with Employer Match

Paid Time Off

Tuition Assistance

Professional Development Opportunities

Qualifications

• 3+ years of experience in data analysis, especially in healthcare.
• Proficiency in R or Python for statistical analysis.

Responsibilities

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

Skills

R

Python

Machine Learning

Statistical Analysis

Data Preprocessing

Communication Skills

Education

Master’s or PhD in Data Science

Bachelor’s in Statistics or Related Field

Tools

AWS

Azure

GCP

Job description

Overview

Since our founding in 1924, we've significantly reduced cardiovascular disease deaths, but much work remains. To tackle today's health challenges and accelerate progress, we seek passionate individuals to join our movement and contribute to a healthier future. Your impact matters at the American Heart Association.

We have 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 medical research challenges using advanced tools and techniques.

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

#TheAHALife reflects our commitment to work-life harmony, guided by core values that enable employees to thrive personally and professionally. Discover more about our culture 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 research questions and develop statistical analysis plans.
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. Attend external conferences and lead or participate in consultative sessions with volunteers and experts.
9. Contribute to communication strategies, including network engagement, publications, 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 with 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 techniques.
• Minimum of 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.

Preferred Experience

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

Compensation & Benefits

Expected salary: $75,000 - $85,000, commensurate with experience. Geographic differentials may apply. We offer a comprehensive rewards package, including:

• Competitive salary with regular market reviews.
• Performance-based incentives and merit increases.
• Medical, dental, vision, disability, and life insurance.
• Retirement plans with employer match and contributions.
• Professional development via ERGs, mentoring, and HeartU.
• Paid Time Off (at least 16 days), holidays, and additional leave based on seniority.
• Tuition assistance for further education.

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. Qualified applicants with arrest or conviction records will be considered. EO/Protected Veterans/Persons with Disabilities. #LI-Hybrid

Join our Talent Community for updates on opportunities and events.

Location: US-TX-Dallas (Remote options available)

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

Requisition ID: 2025-15749

Category: Science & Research

Type: Full Time