University of California - Berkeley, CA

posted 2 months ago

Full-time - Entry Level
Berkeley, CA
Educational Services

About the position

The Research Data Analyst position at the University of California, Berkeley, within the Berkeley Public Health department, is a full-time contract role focused on improving population health through data analysis and research. The successful candidate will be part of a high-performing team dedicated to addressing transportation safety issues, particularly through the work of the Safe Transportation Research and Education Center (SafeTREC). This center aims to inform decision-making and empower communities to enhance roadway safety, especially given the alarming statistics surrounding motor vehicle crashes in the U.S. The role requires a strong commitment to equity and social justice, aligning with Berkeley's values of diversity and inclusion. In this position, the analyst will conduct transportation safety-related data analysis, utilizing statistical software such as R, Python, and STATA. The analyst will be responsible for documenting analyses, preparing reports, and developing data visualizations to communicate findings effectively. Additionally, the role involves drafting manuscripts and grant proposals, conducting literature reviews, and maintaining transportation safety data. The analyst will also participate in professional development opportunities to enhance their skills and contribute to the team's mission of achieving zero roadway fatalities or serious injuries. The ideal candidate will possess a Bachelor's degree in a related field and demonstrate proficiency in statistical analysis methods, data visualization, and effective communication. The position offers a unique opportunity to contribute to meaningful research that impacts public health and safety, while also being part of an inclusive and innovative community at UC Berkeley.

Responsibilities

  • Conduct transportation safety related data analysis
  • Utilize general statistical knowledge in support of research grants
  • Analyze data using R, Python, STATA or other statistical software, as needed
  • Document analyses performed and share the outcome with other staff
  • Assist in preparing reports, presentations, and publications
  • Develop data summary and visualization using tables and charts
  • Draft a part of manuscripts with directions from the Principal Investigators
  • Conduct literature searches and reviews
  • Assist in preparing data and writing a draft for the grant proposals
  • Draft monthly, quarterly, or yearly progress reports if appropriate
  • Research, collect and maintain transportation safety related data
  • Collect relevant transportation safety data
  • Assist in developing systems for organizing data to analyze, identify and report trends
  • Review available data and update periodically if needed to make the data up-to-date
  • Share the summary of the available dataset and recent changes with internal constituents
  • Participate in workshops, training, and other professional development opportunities
  • Other duties, as assigned

Requirements

  • Working knowledge in various statistical analysis methods in order to perform data analyses
  • Proficiency with statistical software such as STATA, R, or related data analysis software to perform processes necessary to examine datasets
  • Demonstrated strong data analytical skills in order to utilize multiple datasets together
  • Ability to communicate complex information in a clear and concise manner both verbally and in writing
  • Self-motivated and works independently
  • Demonstrated broad problem-solving skills
  • Writes clearly and in the appropriate style
  • Interacts with co-workers appropriately and efficiently
  • Bachelor's degree in related area and/or equivalent experience/training

Nice-to-haves

  • Experience of utilizing online charting libraries such as HighCharts, D3, or Google Charts
  • Experience of analyzing geospatial dataset
  • Knowledge of relational database structures and database querying tools
  • Ability to understand SQL and write SQL queries for the data processing

Benefits

  • Comprehensive benefits package offered by the University
  • Professional development opportunities with at least 80 hours (10 days) of paid time per year
  • Hybrid work arrangement with 60% remote capability
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service