Statistical Analyst

American Heart Association; Omaha (NE); Remote; USD 75,000 - 85,000; Full time

Job summary

An established industry player is seeking a passionate Statistical Analyst to join their team. This role offers the opportunity to utilize advanced data science tools and methodologies to analyze real-world healthcare data, contributing to critical research in precision medicine. As part of a collaborative environment, you will work closely with scientists and program managers to tackle medical research challenges. With a commitment to work-life balance and professional development, this position allows you to make a meaningful impact in the healthcare field while enjoying the flexibility of remote work options.

Benefits

Comprehensive Benefits

Professional Development

Tuition Assistance

Work-Life Balance Initiatives

Qualifications

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

Responsibilities

• Conduct statistical analyses using clinical registry and EHR data.
• Collaborate with teams to refine questions and develop analysis plans.
• Prepare reports and visualizations for dissemination.

Skills

R

Python

Machine Learning

Statistical Analysis

Data Preprocessing

Communication Skills

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 us. Be part of our movement towards a healthier future for all.

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 medical research challenges using cutting-edge tools and methods.

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

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

Responsibilities

1. Conduct statistical analyses using clinical registry and EHR data to answer research questions related to cardiovascular disease.
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 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 conferences and lead or participate in consultative sessions with volunteers and experts.
9. Contribute to communication strategies, including networks, written content, 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 statistical analysis.
• Experience preprocessing and modeling clinical data, especially from EHRs or registries.
• Knowledge of 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 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 differentials may apply. We offer comprehensive benefits, professional development, work-life balance initiatives, tuition assistance, and more. Learn about our total rewards package on our website.

Our mission is to improve health outcomes through science, policy, and care, aiming for impactful breakthroughs by 2028, reaching everyone where they are.

We are committed to diversity and inclusion, welcoming applicants of all backgrounds and abilities. This position is eligible for remote work depending on location.

If this role isn't a match, explore other opportunities on our careers page.

In accordance with applicable laws, qualified applicants with arrest or conviction records will be considered.

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