University of California, San Francisco (UCSF)

 
The UCSF Department of Anesthesia, the UCSF Hypoxia Lab (hypoxialab.org) and the UCSF Center for Health Equity in Surgery and Anesthesia (chesa.ucsf.edu) are committed to improving the care and health outcomes among disadvantaged populations locally and globally. Recently there has been renewed interest in understanding if and why pulse oximeters may perform differently in patients depending on their skin color. Our team has published some of the seminal research on this topic and is the leading lab in the world for this type of research (hypoxialab.org). In collaboration with leading regulatory agencies, we are now setting out to try to better understand and solve this problem with multiple new research initiatives.   

Primary focus of job: We are undertaking several studies in the hospital and our human research laboratory to characterize the potential impact of skin pigment on accuracy of pulse oximetry and other medical diagnostic and health care wearables that may be affected. This project spans our Bay Area and International health equity interests. We are collecting vast amounts of diagnostics data, some using novel data collection methods. As part of the project we will be setting up robust data collection systems in the lab and the hospital settings as well as creating and managing an open access data repository for diagnostics device data. This repository will contain data from our lab as well as data from collaborating study groups. The data will be shared via portals we will create that facilitate raw data utilization for researchers and industry, as well as visualized data to help lay persons and consumers better understand device technology performance and standards. The research data analyst will work on multiple aspects of the above work, including working closely with our laboratory based clinical research team to develop familiarity with our data collection protocols.   

We are seeking to fill a full-time position for this project for a period of 12 months, though may be longer contingent on further funding. 

The purpose of the position Involves gathering, analyzing, and interpreting a wide variety of research data; Designing and conducting research including selecting data, developing research instruments, analyzing collected information according to established statistical methods, and developing recommendations based on research findings; Preparing reports, charts, tables, and other visual aids to interpret and communicate data and results; Creating and managing data repositories.
The research data analyst will work on projects at the intersection of health diagnostics, health equity and AI with additional responsibilities including:data cleaning and processing
building reports including (but not limiting to): summary statistics, missing data, outliers, graphical representation of the data distribution, power and sample size calculation
running basic statistical analyses including (but not limited to): statistical comparisons between predefined groups, basic data modeling using parametric / non-parametric models
running more advanced analyses under the supervision of senior statisticians (e.g. machine learning modeling, supervised and under supervised clustering)
implementing and managing data collection systems and protocols
To perform these tasks, the Medical Diagnostics & Disparities Data Analyst is expected to be proficient in coding languages such as R, Python, Java Script.
 *Please provide a cover letter upon application*

To apply for this job please visit sjobs.brassring.com.