Stanford University is seeking a Research Data Analyst 1 to manage and analyze large amounts of information, typically technical or scientific in nature, under the direction of project researchers, investigators, or managers, to aid in the design and analysis of high-throughput experimental results in the Sheltzer Lab.
Requirements
- Proficiency in Python, R, Linux, and command line tools.
- A strong background in genomics, including WGS, RNA-Seq, and single-cell approaches.
- Substantial experience with MS Office and analytical programs.
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.
- Conduct copy number analysis on cancer specimens, identifying patterns of transcriptional alterations following drug treatments, and contributing to the analysis of CRISPR screening data.
Other
- Bachelor's degree or a combination of education and relevant experience.
- Experience in a quantitative discipline such as economics, finance, statistics or engineering.
- Excellent oral and written communication skills including the ability to effectively generate data visualizations suitable for presentation and publication.
- Strong writing and analytical skills.
- Ability to prioritize workload.
