Bioinformatics Scientist (52832)

Gap Solutions • Baltimore, MD

1d

About The Position

The Bioinformatics Scientist will provide support services to satisfy the overall operational objectives of the National Institute on Aging (NIA) within the National Institutes of Health. This role involves collaborating with staff on multi-disciplinary studies, performing computational analyses of large biological datasets, and generating/analyzing high-throughput data. The scientist will also be responsible for developing and implementing innovative software and computational tools, training staff, and collaborating with experimentalists and computational biologists to address research questions related to inflammation and immune dysfunction in human aging.

Requirements

• Master’s degree in Computational Biology, Bioinformatics, Systems Biology, and Biophysics
• Skilled in MS Office Suite

Nice To Haves

• Ability to communicate effectively, orally and in writing, with non-technical and technical staff.
• Detail-oriented and possess strong organizational skills with the ability to prioritize multiple tasks and projects.

Responsibilities

• Collaborate with staff on a multi-disciplinary study of human immune aging.
• Perform computational analyses and modeling of large biological data sets including Next Generation Sequencing (NGS).
• Generate and analyze high-throughput data, including data from bulk and single cell RNA-seq, ATAC-seq, DNA methylation, proteomic flow cytometry and CyTOF phenotyping.
• Collaborate with staff to establish innovative software and computational tools to enable the Center for Immune Aging to perform complex computational data analyses.
• Train and mentor staff in the use of software and computational tools.
• Collaborate with experimentalists and computational biologists to develop new computational tools to answer research questions of interest that pertain to inflammation and immune dysfunction that occurs with human aging.
• Collect, analyze and interpret data; prepare reports and summaries based on results and findings.
• Attend laboratory meetings; present data for staff discussion.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level