Contributes to scientific analysis of data generated by multiple research projects using a variety of software applications.
Responsible for data analysis, data harmonization, results presentation, script writing, and outreach.
Prepares, maintains, curates and analyzes data from high-throughput sequencing (HTS) projects and other projects that generate clinical and complement ”omics” or other high dimensional data.
Provides standard bioinformatics analyses such as unsupervised clustering, differential expression, and data visualization.

Requirements

Bachelor's degree in bioinformatics, computational biology, computer science, statistics, data science, genomics, or a related quantitative field, and one year of relevant experience; or an equivalent combination of education and experience required.
Experience working with, curating, analyzing, and modeling large datasets in bioinformatics, using scripting or statistical programming languages (e.g., Python, R, related tools) required.
Experience working in a biomedical or clinical research environment on healthcare/medical/clinical research data, including genomics data preferred.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisdata harmonizationscript writingbioinformatics analysisunsupervised clusteringdifferential expressiondata visualizationscripting languagesstatistical programminghigh-throughput sequencing