Washington University is seeking a data scientist to analyze spatial transcriptomic data for research on human aorta, peripheral vasculature, and the human brain, aiming to better understand cellular niches and architecture.
Requirements
- strong background in statistical and computational methods for high-dimensional data analysis.
- Generate routine reports, statistical summaries, and figures using SAS, R, or Python.
- Biomedical Research
- Clinical Studies
- Data Analysis
- Data Management
- Statistical Packages
Responsibilities
- Performs data analysis and/or data management for investigators using statistical packages including generation of tables and graphs.
- Assists investigators in the design of experiments, clinical trials and epidemiological studies.
- Assists in data base design, implementation and maintenance of data collected over time for research purposes, including acquisition, editing and reporting.
- May assist in design and development of data entry systems.
- May function as a statistical consultant primarily in collaborative studies involving the medical school community.
- Develop and evaluate tools for transcriptomic and imaging data analysis.
- Perform data visualization, quality control, and integrity monitoring.
Other
- Bachelor’s degree or combination of education and/or experience may substitute for minimum education.
- Master's degree
- Interpersonal Communication
- Oral Communications
- Organizing
- Written Communication
