Sort by
Refine Your Search
-
Category
-
Program
-
Field
-
research and have a strong background in bioinformatics and large-scale data analysis, we encourage you to apply. Key Responsibilities Research Leadership & Data Analysis (80%) ● Lead the analysis of complex
-
sequencing, Hi-C, and other protocols bioinformatic and statistical analysis of complex datasets that include numerous types of data including 16S, metagenomic, metatranscriptomic, and enriched metagenomic
-
health systems to ensure our research is relevant, ethical, and impactful. Bioinformatics – Applying advanced computational methods to analyze complex single-cell, genomic, and systems-level datasets
-
Code 9703DE Employee Class Acad Prof and Admin Add to My Favorite Jobs Email this Job About the Job This Bioinformatics Engineer position is integral to the UMGC's operations, directly supporting the
-
Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Responsibilities 50% – Execute and Maintain Bioinformatics Pipelines Run established pipelines for whole genome sequencing
-
to ensure our research is relevant, ethical, and impactful. Bioinformatics – Applying advanced computational methods to analyze complex single-cell, genomic, and systems-level datasets. This position directly
-
diseases, including cancer • Conduct cellular and molecular biology experiments • Produce and purify AAVs (adeno-associated viruses) • Conduct bioinformatic analysis of data 20% Professional Development
-
Transformation DNA purification Digest verification PCR DNA extraction Computer: Demonstrates experience with: R Studio Microsoft Office FileMaker Pro Bioinformatic analysis tools (NCBI, ExPASy, etc.) Qualtrics
-
Employee Class Civil Service Add to My Favorite Jobs Email this Job About the Job Summary: This position involves the testing, evaluation and application of advanced bioinformatics tools for analysis
-
, setting up and evaluating large field experiments for disease control, performing molecular biology, bioinformatics, and statistical analyses on experimental data. Preferred Qualifications: Experience with