The Stanford Autonomic Disorders Program is seeking to hire a Research Data Analyst 1 to manage and analyze large amounts of physiological data for clinical projects on autonomic disorders.
Requirements
Experience using machine learning algorithms in Prism, MATLAB, and Python.
Skilled in R, SQL, C++ (STL), Frameworks and Libraries:, Pandas, NumPy, PyTorch.
Computer vision and machine learning (e.g., image segmentation, clustering, and classification models).
Familiarity with REDCap, Excel-based data capture, and research documentation.
Substantial experience with MS Office and analytical programs such as Python, R, SQL, C++ (STL).
Strong writing and analytical skills.
Ability to prioritize workload.
Responsibilities
Collect, manage and clean datasets.
Employ new and existing tools to interpret, analyze, and visualize multivariate relationships in data.
Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
Develop reports, charts, graphs and tables for use by investigators and for publication and presentation.
Analyze data processes in documentation.
Collaborate with faculty and research staff on data collection and analysis methods.
Other
Bachelor's degree or a combination of education and relevant experience.
Minimum 2 years of Statistics, Biostatistics, Bioinformatics or related field experience preferred.
Ability to multi-task various projects with different timelines.
Ability to collaborate with senior investigators.
High level of self-motivation and ability to work independently.
