Sr. Bioinformatics Scientist
Sr. Bioinformatics Scientist
The Frederick National Laboratory is dedicated to improving human health through discovery and innovation in the biomedical sciences, focusing on cancer, AIDS, and emerging infectious diseases.
LHRI - The Laboratory of Human Retrovirology and Immunoinformatics (LHRI), Clinical Services Program, Applied/Developmental Directorate, has studied mechanism multiple drug resistance (MDR) of HIV and HIV pathogenesis by performing basic and clinical research. The mission of the LHRI is to support NIAID ongoing clinical therapy for HIV-infected patients by investigating the mechanism of immune and viral responses in infected individuals utilizing microbiological, biochemical, and immunological techniques, and bioinformatics analysis
We are seeking a highly motivated and experienced Bioinformatic Scientist to lead the bioinformatics section in LHRI. The section has provided services as needed for the labs at Frederick and Bethesda/NIAID or any other group NIAID deems appropriate as well as develop bioinformatics tools.
The Scientist will supervise four employees: two (2) with PhDs, 1 with MS in computational scientists and 1 with MS in statistics and provide leadership to support the extensive NGS and other bioinformatic analytical efforts for the customers and LHRI researchers.
- Supervise the group by overseeing each ongoing project and facilitate teamwork on internal and external projects including an internal computing cloud platform in order to facilitate high-throughput analysis of microarray and NGS data and maintenance of bioinformatics database and tool development (http://david.niaid.nih.gov)
- Report data analysis of Exon, SNP, including GWAS and gene expression to the customers
- Develop novel analytical algorithm research
- Manage commercial and open-source software applications and computer systems in support of laboratory instruments and data analysis
- Working closely with the Lab head of LHRI in support of scientific manuscript development, submission, revision activities with significant coauthorship and potentially lead authorship opportunities and present data in scientific conferences
- Possession of a Doctoral degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in a related field (Additional qualifying experience may be substituted for the required education). Foreign degrees must be evaluated for U.S. equivalency.
- In addition to educational requirements, a minimum of five (5) years of progressively responsible scientific and/or complex system management/bioinformatics experience including development of bioinformatics analysis tools
- Strong knowledge required of virology, cellular biology, immunology, genome-wide association analysis and interpretation, and applied computational research on large multivariate datasets
- Expertise in algorithmic implementation, statistical programming and data manipulation, using e.g., Matlab, Python, Perl, Shell, Python, R, Java and C/C++. and a wide range of contemporary, open-source bioinformatics tools and database structures (e.g. PLINK, SNPTEST, GLU, IMPUTE2, BEAGLE, UCSC Genome Browser, etc.)
- Experience of Phylogenomic, Sequence alignments, Phylogeny reconstruction, analysis of recombination, whole genome sequence, transcriptomics, RNA-Seq microRNA, LincRNA, exome, Data quality assessment, differential expression, heatmap visualizations, pathway and network analyses, protein and nucleic acid interaction, statistical analysis, modeling and simulations, protein structure and interactions predictions
- Team oriented with excellent written and verbal communication skills, with demonstrated ability to self-educate in current bioinformatics techniques and resources
- Must be able to obtain and maintain a security clearance
- Experience of managing large datasets and computational tasks
- Experience of Phylogenomic, Sequence alignments, Phylogeny reconstruction
- Experience of analysis of recombination, whole genome sequence, Transcriptomics/RNA-Seq, microRNA, LincRNA, exome seq and Data quality assessment
- Experience in the field of molecular and genetics with a strong publication record
Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)