[Remote] Statistical Analyst

Note: The job is a remote job and is open to candidates in USA. The American Heart Association is seeking a Statistical Analyst to work with real-world healthcare data for scientific research in precision medicine. This role involves conducting statistical analyses, collaborating with research teams, and applying advanced analytical methods to address cardiovascular disease research questions.

Responsibilities

• Conduct statistical analysis using clinical registry and electronic health record (EHR) data to address research questions related to cardiovascular disease
• Collaborate with senior analysts, clinicians, and research teams to refine research questions and develop statistical analysis plans (SAPs)
• Apply and develop traditional and advanced analytical methods, including machine learning, deep learning, and other AI-driven techniques
• Utilize AI-assisted tools to facilitate code review and maintain rigorous standards for reproducibility and transparency
• Prepare summary reports, manuscripts, and visualizations for internal and external dissemination
• Contribute to the preparation of peer-reviewed journal articles and presentations for scientific meetings
• Serve as a technical/topical expert, champion, consultant, and liaison to Association stakeholders and external peers
• Attend relevant external conferences, and attend/co-lead consultative sessions with volunteer Task Force and other Association volunteers/experts
• Contribute landscape and topical expertise to the development and execution of comms plan/strategies, including networks to engage, written pieces, workshop planning, and publication strategies

Skills

• Master's or PhD degree in data science, biostatistics, biomedical informatics, computer science, statistics, public health, epidemiology, applied mathematics, or a related field
• Minimum of 3 years of experience with R or Python for statistical computing and data analysis
• Experience in preprocessing and modeling clinical data, especially patient-level data from EHRs or registries
• Experience in both traditional statistical modeling and machine learning techniques
• Minimum of 2 years of experience analyzing real-world patient data in clinical or research settings
• Experience writing and executing Statistical Analysis Plans
• Hands-on experience with cloud-computing platforms (e.g., AWS, Azure, GCP) for data processing and analysis
• Strong skills in managing and analyzing large-scale, complex clinical datasets
• Excellent oral and written communication skills, with the ability to effectively communicate technical/statistical information to both technical and non-technical stakeholders
• Highly effective organizational skills, time management, responsibility, and motivation
• Ability to travel up to 10%, including occasional overnight stays
• Python programming language
• Cardiovascular Data Analysis
• Experience working in a healthcare or research environment

Benefits

• Medical
• Dental
• Vision
• Disability
• Life insurance
• Robust retirement program that includes an employer match and automatic contribution
• Employee assistance program
• Employee wellness program
• Telemedicine
• Medical consultation
• Paid Time Off (PTO) at a minimum of 16 days per year for new employees
• 12 paid holidays off each year
• Tuition Assistance

Company Overview

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