Statistical Analyst

American Heart Association; Jacksonville (FL); Remote; USD 75,000 - 85,000; Full time

Job summary

Join a forward-thinking organization dedicated to improving cardiovascular health as a Statistical Analyst. This role offers the opportunity to leverage your data science expertise in analyzing real-world healthcare data for groundbreaking research in precision medicine. Collaborate with a team of passionate professionals to tackle medical research challenges using advanced analytical methods, including machine learning and AI techniques. Enjoy the flexibility of remote work while contributing to a mission that aims to create a healthier future for all. Your work will make a meaningful impact on lives and communities.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

Retirement Plans

Professional Development Resources

Tuition Assistance

Paid Time Off

Holidays

Wellness Programs

Qualifications

• 3+ years of experience in data analysis and statistical modeling.
• Proficient in R or Python for data analysis and visualization.

Responsibilities

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

Skills

Statistical Analysis

Data Science

R Programming

Python Programming

Machine Learning

Data Preprocessing

Communication Skills

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 do. 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 skilled in using data science tools and methodologies to analyze real-world 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 techniques.

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

#TheAHALife reflects our commitment to work-life harmony and is guided by our core values, fostering a thriving environment both 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 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 external conferences and lead 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 in R or Python for statistical analysis.
• Experience preprocessing and modeling clinical data, especially from EHRs or registries.
• Experience with both traditional statistical models and machine learning.
• Minimum 2 years analyzing real-world patient data.
• Experience writing and executing Statistical Analysis Plans.
• Hands-on 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

Salary range: $75,000 - $85,000, commensurate with experience. Geographic differentials may apply. Additional benefits include medical, dental, vision, disability, life insurance, retirement plans, wellness programs, tuition assistance, PTO, holidays, and professional development resources.

Our 2028 goal is to lead breakthroughs in science, policy, and care for healthier lives, building on our century-long leadership in cardiovascular and brain health.

Our mission: To be a relentless force for a world of longer, healthier lives for all, regardless of race, ethnicity, gender, or background.

If this position 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

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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