Statistical Analyst

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

Job summary

Join a forward-thinking organization dedicated to advancing cardiovascular health as a Statistical Analyst. This role offers a unique opportunity to analyze real-world healthcare data using cutting-edge data science tools and methodologies. Collaborate with scientists and program managers to tackle medical research challenges and contribute to impactful publications. With a strong commitment to work-life balance and a culture of diversity and inclusion, this position provides the chance to make a meaningful difference in the lives of many while enjoying robust benefits and professional development opportunities.

Benefits

Medical Insurance

Dental Insurance

Vision Insurance

Disability Insurance

Life Insurance

Retirement Plans

Wellness Programs

Tuition Assistance

Paid Time Off (PTO)

Professional Development Opportunities

Qualifications

• Master’s or PhD in data science or biostatistics preferred.
• At least 3 years of relevant experience required.

Responsibilities

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

Skills

Statistical Analysis

Data Science

Machine Learning

Deep Learning

Communication Skills

Python Programming

R Programming

Data Preprocessing

Statistical Modeling

Cloud Platforms (AWS, Azure, GCP)

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 work to be done. To address today's major health challenges and accelerate progress, we seek passionate individuals to join us in our mission to promote a healthier future for all. Your contribution matters, and with us, you can make a meaningful impact.

The American Heart Association offers an excellent opportunity for a Statistical Analyst based out of our National Center. Remote work is acceptable.

We are seeking a data science analyst or biostatistician to utilize data science tools and methodologies to analyze real-world healthcare data for scientific research in precision medicine. You will work in a collaborative environment, partnering with scientists, volunteers, and program managers to solve medical research challenges using advanced tools and techniques.

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

#TheAHALife reflects our commitment to a culture where employees thrive both personally and professionally, guided by our core values. Discover more about our community on LinkedIn, Instagram, Facebook, X (formerly Twitter), and heart.jobs.

Responsibilities

1. Conduct statistical analysis using clinical registry and electronic health record (EHR) data to address research questions related to cardiovascular disease.
2. Collaborate with senior analysts, clinicians, and research teams to develop research questions and statistical analysis plans (SAPs).
3. Clean, preprocess, and harmonize clinical data for analysis.
4. Apply and develop traditional and advanced 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 external conferences and lead consultative sessions with volunteers and experts.
9. Contribute to communication strategies, including network engagement, writing, 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.
• Knowledge of statistical modeling and machine learning techniques.
• 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 datasets.
• Excellent communication skills for technical and non-technical audiences.

Preferred Experience

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

Compensation & Benefits

Expected salary range is $75,000 - $85,000, commensurate with experience. Geographic adjustments may apply. Additional benefits include medical, dental, vision, disability, life insurance, retirement plans, wellness programs, tuition assistance, PTO, holidays, and professional development opportunities.

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

We are committed to diversity and inclusion, welcoming applicants regardless of race, ethnicity, gender, age, disability, or background. Qualified applicants with arrest or conviction records will be considered in accordance with applicable laws.

EOE/Protected Veterans/Persons with Disabilities

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Location: US-TX-Dallas (Remote possible)

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

Requisition ID: 2025-15749

Category: Science & Research

Type: Full Time