The American Heart Association is seeking a data science analyst/biostatistician to identify and analyze real-world healthcare data for scientific research in precision medicine to overcome today's biggest health challenges and accelerate progress in cardiovascular disease.
Requirements
- 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.
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).
- Clean, preprocess, and harmonize clinical data for analysis.
- Apply and develop traditional and sophisticated 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.
Other
- 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 experience.
- 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.
- Python programming language.
