322 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"St" positions at University of Pittsburgh
Sort by
Refine Your Search
-
Listed
-
Category
-
Field
-
Outreach Program Specialist I Med-Microbiology and Molecular Genetics - Pennsylvania-Pittsburgh - (25006098) The Cooper Lab (http://micropopbio.org/) in the University of Pittsburgh, School
-
to classify biological signals. Experience and understanding AI and Cloud computing. Collaborate with experimentalists and clinical researchers to design integrative computational analyses that inform
-
Management & Stakeholder Engagement Program Design, Market Positioning & Governance Union & Collective Bargaining Support Executive and Faculty Compensation Annual Compensation Management Process Career Path
-
. The Bioinformatics Scientist will be responsible for the development and implementation of automated & scalable analytical pipelines on high-performance computer clusters and cloud infrastructure, and integrative
-
about working with advanced HR technology like Oracle Cloud HCM or Taleo and have foundational knowledge in HR, we'd love to have you on our team. You'll contribute to hands-on support of our HR system
-
, as well as the analysis of registered and controlled-tier genomic data from the NIH All of Us Research Program. Responsibilities include creating reproducible, cloud-based workflows, conducting
-
); Familiarity with cloud technologies enabling data science work (AWS preferred). Required non-technical experience: Deep understanding and passion for American football; Desire to help Pitt Athletics be
-
SQL proficiency with cloud data warehouse experience (Snowflake preferred); Proficiency in Python (preferred) or R for statistical analysis & modeling; developing quantitative models to inform revenue
-
excellent written and oral communication skills. Must be familiar with OneDrive and cloud-based shared spreadsheet platforms. Job Summary: · Performs laboratory work in an independent manner
-
identify opportunities to improve data quality and accelerate development cycles. 3-5 years of developing and using SQL queries in a professional environment preferred Masters in Computer Science, Statistics