Statistical Analyst

American Heart Association; Atlanta (GA); Remote; USD 75,000 - 85,000; Full time

Job summary

An established industry player is seeking a Statistical Analyst to join their mission for healthier lives. This role involves utilizing advanced data science tools to analyze healthcare data, contributing to significant medical research. You will collaborate with scientists and program managers, applying your expertise in statistical analysis and machine learning to address cardiovascular research questions. With a focus on work-life balance and professional development, this position offers a dynamic environment where your contributions will have a meaningful impact on public health. If you're passionate about data and healthcare, this is the perfect opportunity for you.

Benefits

Health Insurance

Retirement Plans

Tuition Assistance

Work-Life Balance Programs

Professional Development

Qualifications

• Master’s or PhD in data science or related fields preferred.
• At least 3 years of relevant experience in statistical analysis.

Responsibilities

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

Skills

R

Python

Statistical Analysis

Machine Learning

Data Preprocessing

Communication Skills

Time Management

Education

Master’s or PhD in Data Science

Relevant Experience

Tools

AWS

Azure

GCP

Job description

Overview

Since our founding in 1924, we've significantly reduced cardiovascular disease deaths, yet much work remains. To address today's health challenges and accelerate progress, we seek passionate individuals to join our movement for a healthier future for all. Your impact matters.

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 healthcare data for scientific research in precision medicine. You will work collaboratively with scientists, volunteers, and program managers to solve medical research challenges using advanced tools and methods.

Our resources support work-life balance, including access to Heart U, our corporate university, and local training opportunities.

#TheAHALife reflects our commitment to a culture where employees thrive both personally and professionally, guided by our core values. 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 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. Participate in conferences and lead consultative sessions with volunteers and experts.
9. Contribute to communication strategies, including networks, publications, and workshops.

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 statistical modeling and machine learning.
• At least 2 years analyzing real-world patient data.
• Experience with Statistical Analysis Plans.
• Hands-on with cloud platforms (AWS, Azure, GCP).
• Strong skills managing large clinical datasets.
• Excellent communication skills for technical and non-technical audiences.
• Effective organizational and time management 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 adjustments may apply. Additional benefits include health insurance, retirement plans, professional development, work-life balance programs, tuition assistance, and more.

Our mission is to be a relentless force for a world of longer, healthier lives, inclusive of all backgrounds and abilities. If this role isn't a match, explore other opportunities with us.