BIOSTATISTICIAN - 67689-1A
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.
The Data Analyst will be responsible for working with field staff both internationally and domestically, 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 quantitative and qualitative data, developing and maintaining data quality control and assurance procedures, and data management in Research Electronic Data Capture (REDCap) , Stata and Ror other similar program. The analyst will work with biostatisticians to execute data analyses. Current Major Projects 1. Supporting, Mobilizing and Accelerating Research for Tuberculosis Elimination (SMART4TB) Technical Area 1 (Diagnostics) consortium studies – SMART4TB is a USIAD-funded multi-institution and multi-country initiative to accelerate development of new diagnostics, therapeutics and containment strategies, with partners across 24 countries organized into 6 regional hubs. 2. Rapid Research in Diagnostics Development for TB Network (R2D2 TB Network) – This NIH U01-funded project will establish 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 includes field sites in up to 10 countries (Uganda, South Africa, the Gambia, Zambia, Vietnam, India, Philippines, Peru, Brazil and Georgia). Skills of interest include international field site management, data management and human factors research. As desired, the project provides opportunities to be involved in Bayesian analytic methods and health economic studies.