Stanford University is seeking to hire a Research Data Analyst 1 to manage and analyze large physiological datasets for clinical projects on autonomic disorders and other neurological conditions, supporting data-driven clinical projects.
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).
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
- 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.
- Relevant background in Neuroscience, Neurology, Cognitive Science, Psychology or related field.
- Strong communication of analytical findings to both clinical and research teams.
