-
University of California, San Francisco | San Francisco, California | United States | about 3 hours ago
to logical data design, data warehouse design, data integration or the management of web content or other unstructured data. Strong quantitative background preferably in biostatistics, statistics
-
experienced PKPD modelers who come with teamwork, coding, statistics, and expertise. You will be responsible for developing and applying quantitative models to the discovery and development of therapeutic drug
-
equivalent experience / training Minimum 1 year of related experience Working knowledge of clinical research principles and research design Working skills in statistical analysis, systems programming, database
-
, charts, and graphs, and the fundamentals of statistical analysis Demonstrated ability to work as part of a scientific research team Managerial skills (basic accounting and stocking experience) Ability
-
organizational scope. Develops relevant department and service quality indicators, structures and measures. Analyzes and interprets highly complex data of broad scope, and summarizes statistical findings. Develops
-
around the world, we accelerate the pace of discovery and champion the University's global health initiatives. Required Qualifications Bachelor’s degree in a field related to computer science, statistics
-
or Spanish Statistics and data analysis experience Fluency in the usage of Committee of Human Research (CHR) online iMEDris system for submission, renewal, and modification of protocols through this system
-
or she will use quantitative methods and statistical tools to generate analytics, complex reports, and recommendations that support and enhance business processes. The final salary and offer components
-
Proficient in ability to multi-task with demanding timeframes Working knowledge of applicable policy analysis techniques Preferred Qualifications Familiarity with at least one statistical software package
-
). Experience with brain imaging data processing techniques and/or programming skills is desirable Proficiency in Matlab, Python, statistical analysis software (e.g. SPSS, R) Fluency in the usage of the Committee