Statistical Analyst

American Heart Association; San Diego (CA); Remote; USD 75,000 - 85,000; Full time

Job summary

An established industry player is seeking a passionate Statistical Analyst to join their mission for healthier lives. This role offers the chance to utilize advanced data science tools and methodologies to analyze real-world healthcare data, contributing to significant medical research. You will collaborate with a diverse team of scientists and program managers, tackling pressing health challenges and making a tangible impact. With a commitment to work-life balance and professional growth, this position provides a supportive environment where your contributions will be valued. Join this innovative organization and be part of a movement that truly matters.

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 preferred.
• At least 3 years of relevant experience in data analysis.

Responsibilities

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

Skills

Statistical Analysis

Data Science

Machine Learning

R Programming

Python Programming

Communication Skills

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 to accomplish. To address today's major health challenges and accelerate progress, we seek passionate individuals to join us. Be part of 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 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.

We provide 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 foster personal and professional growth. Discover why you will Be Seen. Be Heard. Be Valued at the American Heart Association by following us on LinkedIn, Instagram, Facebook, X (formerly Twitter), 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 conferences and lead or participate in consultative sessions with volunteers and experts.
9. Contribute to communication strategies, including networks, written pieces, workshops, and publications.

**Qualifications**

• Master’s or PhD in data science, biostatistics, biomedical informatics, or related fields (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 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 technical and non-technical audiences.

**Preferred Experience:**

• Python programming.
• Cardiovascular data analysis.
• Healthcare or research environment experience.

**Compensation & Benefits**

Expected salary range: $75,000 - $85,000, commensurate with experience. Geographic differentials may apply. Additional benefits include health insurance, retirement plans, professional development, work-life balance initiatives, tuition assistance, and more.

Our 2028 goal is to advance science and care for healthier lives worldwide, building on our trusted leadership in cardiovascular health.

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, see other opportunities. Qualified applicants with criminal records will be considered in accordance with laws.

EOE/Protected Veterans/Persons with Disabilities

#LI-Hybrid

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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