Sort by
Refine Your Search
-
improvement of operations, clinical outcomes, and business strategies. Works with stakeholders throughout the organization to drive business solutions and are adept at using large data sets and models to test
-
-site international project investigating language, facial, and acoustic indicators of psychosis. Data Engineering- Design, develop, and maintain high-performance data processing pipelines for large
-
contribute to the excellence of our academic community. We are seeking a candidate with experience working with large-scale healthcare claims data to support a new study on pregnancy and cardiovascular health
-
contribute to the excellence of our academic community. KEY RESPONSIBILITIES: Independently manages significant and key aspects of a large clinical trial or all aspects of one or more small trials, or research
-
discrepancies Experience extracting, validating, and normalizing large datasets for analysis and reporting Strong systems-thinking mindset — able to understand upstream and downstream impacts of financial data
-
integrations. Background in data quality improvement projects or large-scale data cleanup. Familiarity with ServiceNow, Censinet, Kinetic, or similar platforms. Master’s degree in a related field. Experience
-
, SQL Server, MySQL, PostgreSQL) Python or similar scripting language proficiency Data Engineering & Architecture: Experience designing and implementing large-scale data warehouses and ETL/ELT pipelines
-
the most complex research administration activities associated with the conduct of clinical trials. Manages a large or multiple smaller clinical research projects. Manages clinical trials related information
-
fashion. The Division of Neonatology is a large and diverse group with more than 75 faculty, neonatal nurse practitioners, clinical fellows, and administrative staff. Our division is committed to providing
-
contribute to the excellence of our academic community. POSITION INFORMATION: Postdoctoral position in genomic, epigenomic, metabolomic, proteomic, and multi-omics studies of complex diseases (e.g