Req Number 001TSI
Job Category General Administration
The Center Health Innovations and Outcomes Research (CHIOR) uses epidemiology, statistics and laboratory trials to uncover ways to improve how we deliver care; please click here to learn more about the dept. The incoming analyst would work on the design, development and implementation of data and intelligence-driven connected ICU that could improve outcomes for acute respiratory distress syndrome (ARDS). ARDS is a life-threatening form of respiratory failure that affects approximately 200,000 patients and resulting in nearly 75,000 deaths each year in the United States.
Extracts patient clinical data from medical records or other sources containing patient clinical data.
Verifies and populates patient clinical data in designated databases.
Maintains consistency and integrity of data collection. Reports concerns regarding data integrity.
Analyzes and trends data. Prepares reports on trends.
Presents data and recommendations for process/performance improvement initiatives and quality management.
Assists with implementation of databases at health system hospitals. Trains staff on data capture and data entry.
Interfaces data from health system hospitals for reporting purposes; develops and analyses systems needed to obtain information or statistics vital to the research project.
Collaborates with the Krasnoff Quality Management Institute with database development and required modifications.
Bachelor's Degree in Basic Sciences or related field, required.
Ph.D., M.D., or equivalent degree in computer science, bioinformatics, statistics or engineering preferred
Minimum of two (2) years progressively responsible related work experience, including knowledge of research methods, basic statistics and data analysis.
Experience in the application of machine intelligence methods to large-scale healthcare datasets preferred
Experience in one or more areasincluding biomedical informatics, bioinformatics, computer vision, robotics, machinelearning, deep learning, scalable computing and/or pervasive computing preferred
Experience in scientific computing using Python(pandas, scipy, numpy etc.), database technologies (SQL, NoSQL and time-seriesdatabase) modern machine intelligence software packages (Tensor Flow, Theano,Open CV etc.), and statistical computing preferred