Statistical Analyst

American Heart Association; Pittsburgh (Allegheny County); Remote; USD 75,000 - 85,000; Full time

Job summary

Join a forward-thinking organization as a Statistical Analyst, where your analytical skills will contribute to groundbreaking research in cardiovascular health. This role offers the chance to work with advanced data science tools and collaborate with passionate professionals dedicated to making a difference. With a focus on precision medicine, you'll analyze real-world healthcare data, contribute to peer-reviewed publications, and engage in meaningful discussions at conferences. Enjoy a supportive workplace that values work-life balance and professional development while being part of a mission-driven team committed to improving health outcomes for all.

Benefits

Health Insurance

Retirement Plans

Professional Development

Tuition Assistance

Work-Life Balance Initiatives

Qualifications

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

Responsibilities

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

Skills

Statistical Analysis

Data Science

Machine Learning

Python Programming

R Programming

Communication Skills

Data Preprocessing

Statistical Modeling

Organizational Skills

Cloud Platforms (AWS, Azure, GCP)

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, but there is still much work to be done. To address today's major health challenges and accelerate progress, we seek passionate individuals to join our movement and contribute to 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 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 methods.

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

#TheAHALife reflects our culture and commitment to employee well-being, guided by core values that promote personal and professional growth. Discover more about our culture on LinkedIn, Instagram, Facebook, X, and at heart.jobs.

Responsibilities:

1. Conduct statistical analysis of 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 analysis plans.
3. Clean, preprocess, and harmonize clinical data for analysis.
4. Apply 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 external conferences and lead consultative sessions with volunteers and experts.
9. Contribute expertise to communication strategies, including networks, publications, and workshops.

Qualifications:

• Master’s or PhD in data science, biostatistics, biomedical informatics, or related fields.
• 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.
• Minimum 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.
• Organizational skills, responsibility, and motivation.

Preferred Experience:

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

Compensation & Benefits:

Expected salary: $75,000 - $85,000, commensurate with experience. Geographic adjustments may apply. We offer comprehensive benefits, including health insurance, retirement plans, professional development, work-life balance initiatives, tuition assistance, and more.

Our 2028 goal is to lead breakthroughs in cardiovascular and brain health, ensuring health improvements reach everyone, everywhere.

Our mission is to be a relentless force for longer, healthier lives for all, regardless of background or ability.

If this role isn't a fit, explore other opportunities with us.

Qualified applicants with criminal records will be considered in accordance with laws. We are an Equal Opportunity Employer and support protected veterans and persons with disabilities.

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Location: US-TX-Dallas (Remote work acceptable)

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

Requisition ID: 2025-15749

Category: Science & Research

Type: Full Time