Research Data Analyst 3

Job Description

Who We Are

Founded in 1965, UC Irvine is a member of the prestigious Association of American Universities and is ranked among the nation’s top 10 public universities by U.S. News & World Report. The campus has produced five Nobel laureates and is known for its academic achievement, premier research, innovation and anteater mascot. Led by Chancellor Howard Gillman, UC Irvine has more than 36,000 students and offers 224 degree programs. It’s located in one of the world’s safest and most economically vibrant communities and is Orange County’s second-largest employer, contributing $7 billion annually to the local economy and $8 billion statewide.

To learn more about UC Irvine, visit www.uci.edu.

The Department of Medicine has 11 divisions, more than 300 employees and more than $68 million in expenditures annually. The mission of the Department of Medicine is to deliver accessible, patient-centered healthcare of the highest caliber while training compassionate, visionary, and innovative clinicians and researchers. We develop, teach and practice state-of-the-art, evidenced-based medicine that holds the promise of a better future for the people of California and beyond.

Your Role on the Team

The Data Analyst will be responsible for working with research staff, managing data collection and performing data analyses for one or more research projects (current major projects are described below). Responsibilities will include developing data collection instruments, collecting and organizing quantitative and qualitative data, training project staff to collect data, and data management in Research Electronic Data Capture (REDCap) or other similar program. The analyst will work with biostatisticians to execute data analyses.

Current Major Projects
1. Rapid Research in Diagnostics Development for TB Network (R2D2 TB Network) – This NIH U01-funded project has established a platform for identifying promising early-stage diagnostics from a broad range of product developers and conducting field evaluations in TB endemic countries to advance their development and evaluate their accuracy, usability/acceptability and costs/cost-effectiveness. The project involves field sites in multiple countries, including Nigeria, South Africa, Uganda, Zambia, Vietnam, India, and the Philippines. Skills of interest include international field site management and data management.
a. R2D2 HIVPlus – This Gates Foundation-funded study will systematically evaluate novel HIV viral load and/or CD4 testing tools, including point-of-care and open-platform PCR-based formats for disease monitoring, focusing on prototypes or design-locked products with potential to overcome technical and operational limitations of currently available diagnostic tools.

What It Takes to be Successful

Required:

• Thorough knowledge of research function.
• Thorough skills associated with statistical analysis and systems programming.
• Thorough skills in analysis and consultation.
• Skills to communicate complex information in a clear and concise manner both verbally and in writing.
• Knowledge of several statistical programs including STATA, R and MS Excel, as well as the data management program REDCap, is required to ensure the accuracy of study data, produce relevant datasets for analysis, conduct data analysis, and prepare data for publication/presentation.
• Bachelor's degree in related area and / or equivalent experience / training
• Human Subjects research training or ability to obtain in the first year of employment
• Relevant training in biostatistics or equivalent experience.
• Experience in Stata and/or R

Preferred:

• Experience working on international collaborations including international field experience.
• Skills in project management.
• Research skills at a level to evaluate alternate solutions and develop recommendations.
• Knowledge of medical terminology with a focus on tuberculosis and/or HIV diagnosis and treatment is needed to work with the many study collaborators.
• Experience working in global health research including in sub-Saharan Africa or Asia
• Proficiency and experience with analyzing hierarchical data.
• Proficiency and experience with qualitative data