Research Data Analyst I

Generic Scope

Entry-level professional with limited prior experience; learns to use professional concepts to resolve problems of limited scope and complexity; works on assignments that are initially routine in nature, requiring limited judgment and decision making. Employees at this level are expected to acquire the skills and knowledge to perform more advanced work following an agreed upon time in position, through defined training and development planning.

Custom Scope

Under direct supervision, acquires skills and knowledge of professional concepts in research data management and analysis. Works on small projects or segments of projects with limited scope and complexity. Follows standard programming procedures to analyze situations and data from which answers can be readily obtained.

Department Overview

The Quandt lab at the UCSF Diabetes Center is seeking to hire a highly motivated Research Data Analyst to join a team of clinical and research collaborators studying mechanisms of immune tolerance in patients with autoimmune diseases such as type 1 diabetes and endocrine side effects of cancer immunotherapy and mouse models of autoimmunity in collaboration with the Anderson Lab. The Research Data Analyst will aid in the lab’s data management, computational methods and provide essential bionformatics support in the analysis of various experimental data pipelines, including genetic risk scores, PhIP-Seq, single-cell RNA-seq, and ATAC-seq.

Required Qualifications

• 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.

Additional Qualifications

• 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.
• Ability to prioritize tasks, coordinate work with others, and meet multiple deadlines.
• Experience with R and Python programming.
• Familiarity with basic data science workflows.

Required Education

• Bachelor's degree in related area and / or equivalent experience / training.
• Coursework in biological sciences.
• Coursework in computer sciences.