OVERVIEW

Since our founding in 1924, we’ve cut cardiovascular disease deaths in half, but there is still so much more to do. To overcome today’s biggest health challenges and accelerate this progress, we need passionate individuals like you. Join our movement, be part of the progress, and help ensure a healthier future for all. You matter, and so does the impact you can make with us.
The American Heart Association has an excellent opportunity for a Statistical Analyst based out of our National Center (Home Based is acceptable) .
We are seeking a data science analyst/ biostatistician to use data science tools and methodologies to identify and analyze real-world healthcare data for scientific research in precision medicine. You will work in a highly collaborative environment, closely collaborating with American Heart Association scientists, clinical and research volunteers, and program managers to creatively solve challenges in medical research using state-of-the-art tools and methodologies.
The Association offers many resources to help you maintain work-life harmonization through your changing needs and life situations. To help you be successful, you will have access to Heart U, our award-winning corporate university, as well as additional training and support, locally.
#TheAHALife is more than a company culture; it is our way of life. It embodies our commitment to work-life harmonization and is guided by our core values where our employees can thrive both personally and professionally. 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.

QUALIFICATIONS

• Master’s or PhD degree in data science, biostatistics, biomedical informatics, computer science, statistics, public health, epidemiology, applied mathematics, or a related field (preferred)
• Minimum of 3 years of relevant expereince
• Minimum of 3 years of experience with R or Python for statistical computing and data analysis.
• Proven experience in preprocessing and modeling clinical data, especially patient-level data from EHRs or registries.
• Demonstrated 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

PREFERRED EXPERIENCE:

• Python programming language
• Cardiovascular Data Analysis
• Experience working in a healthcare or research environment

AT AMERICAN HEART ASSOCIATION | AMERICAN STROKE ASSOCIATION, OUR MISSION IS TO BE A RELENTLESS FORCE FOR A WORLD OF LONGER, HEALTHIER LIVES, REGARDLESS OF RACE, ETHNICITY, GENDER, GENDER IDENTITY, RELIGION, AGE, LANGUAGE, SEXUAL ORIENTATION, NATIONAL ORIGIN AND PHYSICAL OR COGNITIVE ABILITIES. WE’RE COMMITTED TO ENSURING OUR WORKFORCE, WORKPLACE CULTURE AND MISSION HAVE A SHARED IMPACT ACROSS A DIVERSE SET OF BACKGROUNDS.

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In accordance with local and state laws where applicable, qualified applicants with arrest or conviction records will be considered for employment.
EOE/Protected Veterans/Persons with Disabilities
#LI-Hybrid

• 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.
• Clean, preprocess, and harmonize clinical data for analysis.
• Apply and develop traditional and advanced analytical methods, including machine learning, deep learning, and other AI-driven techniques.
• 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.