Research Data Analyst I

UCSF Health is seeking a Research Data Analyst I to support research on immune tolerance, autoimmune diseases, and cancer immunotherapy. The role manages and analyzes experimental research data, supports bioinformatics pipelines, prepares reports and scientific materials, and develops computer programs and predictive analytics under supervision.

What you'll do:

• Gather and organize various types of research data
• Analyze research datasets according to the pipelines established in the labs
• Prepare figures and tables summarizing results in support of research proposals, protocols, and reports
• Contribute to scientific manuscripts, publications, and presentations
• Maintain research data collection, retrieval, and reporting systems
• Collects research data and prepares it for analysis
• Supports testing of research instruments and data sources
• Assists with evaluation and research of data reporting products
• Assists in analysis of single cell RNA-seq and ATAC-seq data
• Assists in analysis of large data sets of Phip-Seq data
• Assists with data science research to contribute to proposals for other researchers and Principal Investigators from the organization
• Creates, maintains, documents and utilizes computer programs of limited algorithmic complexity and scale

What they're looking for:

• Acquiring knowledge of research function. Acquiring ability to perform research analysis duties
• Acquiring statistical analysis, systems programming, and database design skills to perform research analysis duties
• Ability to effectively manage time and see assigned parts of projects through to completion on deadline
• Familiarity with basic data science workflows and statistical modeling applications is required
• Proficiency in both Python and R programming languages
• Direct hands-on experience in bioinformatics and computational biology research
• Interpersonal skills in order to work with both technical and non-technical personnel at various levels in the organization; and to iteratively improve data science methodologies working with biomedical domain experts
• Ability to communicate technical information in a clear and concise manner
• Basic consultation and communication skills
• Excellent verbal and written communication skills with the ability to integrate and communicated complex information
• Excellent organizational skills
• Ability to work independently and as a member of an interdisciplinary research team