19 data "https:" "https:" "https:" "https:" "https:" "https:" "https:" "https:" research jobs at Loyola University
Sort by
Refine Your Search
-
Responsibilities Salary Range: $80,000 – $100,000 Benefits Information: https://www.luc.edu/hr/benefits/ We are seeking a highly motivated data scientist to join our group, which has been supported by
-
Location Code MICROBIOLOGY (06220A) Is this split and/or fully grant funded? Yes Duties and Responsibilities Carries out bioinformatic analyses under the guidance of the Principal Investigator Analyzes data
-
Principal Investigator Analyzes data from 16S rRNA gene sequencing, whole microbial genome sequencing and shotgun metagenomic sequencing Develops ad hoc scripts (bash, R and Python) for data analysis
-
project as instructed by PI, with appropriate training Monitor inventory of lab supplies and order additional supplies when required Gather, organize, enter, and analyze data; perform literature
-
direction from individual PI. Gather, organize, and record data. Perform simple analysis of results. May assist with library and/or electronic research. Incorporate new protocols and methodology into
-
Performs studies related to pancreatic cancer metabolism under the direct supervision of Principal Investigator. Analyzes and interprets data from experiments. Maintains overall lab organization
-
research data and overall lab management. Work consists of duties involving several related sequential steps, processes or methods. Duties require consideration of factors and conditions that are apparent
-
direction from individual PI. Gather, organize, and record data. Perform simple analysis of results. May assist with library and/or electronic research. Incorporate new protocols and methodology into
-
databases, metabolite annotation, or cheminformatic toolkits, is also required. Experience with metabolic flux modeling (e.g., MICOM , COBRApy) or multi-omics data integration is a plus, as is familiarity
-
organ dysfunction syndrome ( MODS ), and critical illness. The successful candidate will lead innovative projects integrating single-cell and bulk transcriptomics, epigenomics, and clinical data to