-
School of Medicine is looking for a Senior Bioinformatics Analyst to join the new Sylvester Proteomics Shared Resource (PSR), to develop new methods and apply state-of-the art methods for quantitative
-
to apply for a faculty or staff position using the Career worklet, please review this tip sheet . The SCCC Bioinformatics Analyst works with research staff to extend capabilities in bioinformatics and
-
Division located in Crowley, Louisiana. Candidates for this position must have: 1) a Master’s degree or higher in marine biology, ecology, environmental science, or a related field; (2) bioinformatics
-
documentation • Runs and maintains existing next generation data analysis pipelines. • Assists senior bioinformatics analysts in pipeline and algorithm development and validation. • Extracts features of interest
-
. Education: Bachelor's degree required Masters’ degree or PhD in Computational Biology, Bioinformatics or a related field preferred. Alternatively, the candidate may have an advanced graduate degree in
-
models to examine mechanistic functions and translate these functions to preclinical studies. Performs animal work: surgery, behavior, and tissue analysis. Employs Omics, bioinformatic analysis, and
-
and reporting for the Sylvester Shared Resources, which have a focus that includes genomics, flow cytometry, bioinformatics and biostatistics, biorepository, cancer modeling, molecular therapeutics, and
-
Bioinformatics Minimum 1 year of relevant experience Demonstrates proficiency programming and can work on tasks independently without support from others for moderate to difficult programs. Demonstrates knowledge
-
with specific graduate training in biostatistics, bioinformatics, data science, or related discipline. Evidence of high-impact publications. Effective oral and written communications. Demonstrated
-
experiments Write-up of statistical/bioinformatics methods and collaboration on results for manuscripts, abstracts, presentations, and reports to oversight committees and funding agencies Support for data