Computational Biologist (full time):
The Center for Immune Aging located within the Intramural Research Program of the National Institute on Aging (Baltimore, MD) seeks to identify a highly motivated scientist to collaborate in a multi-disciplinary study of human immune aging. The selected individual will be responsible for:
1- Computational analyses and modeling of large biological data sets including Next Generation Sequencing (NGS). High-throughput data is generated and analyzed routinely in the new lab including data from bulk and single cell RNA-seq, ATAC-seq, DNA methylation, proteomic, flow cytometery and CyTOF phenotyping.
2- Mentoring, collaborating and establishing innovative software and computational tools to enable the center to perform complex computational data analyses.
3- Collaborating 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.
The ideal candidate will have a Ph.D. in computational biology, bioinformatics, systems biology, biophysics, or relevant disciplines and 3+ years of hands-on research experience with bioinformatics and the analysis and modeling of large-scale data sets. She/he should possess a sound knowledge of statistics and quantitative modeling, and excellent computer programming skills with proficiency in R and one or more programming languages such as Perl, Python, Ruby, MATLAB; experience with database design and construction, and dynamical system theory and modeling are pluses; proficiency in C/C++ and/or Java as well as experience with multiple OS platforms (Windows, MAC, Linux) are desirable, as is research experience or formal training in the biomedical sciences.
The successful applicant will be hired in a senior position using the contractor mechanism. The evaluations of candidates will begin immediately and continue until the position is filled.
Apply through Kelly Government solutions, https://www.kellyservices.us/, Job Reference #:US3196RO_BH1539333