Bioinformatics Analyst IV
Job ID: req914
Facility: Frederick: Ft Detrick
Location: PO Box B, Frederick, MD 21702 USA
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.
The Molecular Characterization Laboratory (MoCha) is part of Leidos Biomedical Research’s Clinical Research Directorate (CRD) at the Frederick National Laboratory for Cancer Research. The MoCha Laboratory is responsible for providing high-level research in support of the NCI-Cancer Diagnostics Program (CDP) within the Division of Cancer Treatment and Diagnosis (DCTD). MoCha’s major activities include development and application of genomic assay platforms for use in DCTD-sponsored national clinical trials and preclinical studies.
This position is essential to the success of MoCha and on-site presence in Frederick, MD and occasionally in Shady Grove (Rockville, MD) is required.
The Bioinformatics Analyst IV serves as the technical authority on computational issues related to the assigned projects/programs.
- Validate and maintain genomic analysis pipelines for exome, whole genome and RNA-seq data generated from the mocha lab and/or collaborator(s) and help provide biological interpretation of the genomic analysis to advance the understanding of cancer
- Responsible for the organization and management of large genomic datasets, and the integration of data from multiple sources
- Supervise and collaborate with other bioinformatics team members to ensure the quality of work and the prioritization of projects to meet deadlines
- Interacts with management to define strategies for genomic data analysis including hypothesis generation and testing of predictive biomarkers of drug response
- Interacts extensively with intramural laboratories at the NIH and extramural scientists
- Responsible for generating scientific opinions, identifying potential resources or constraints, and proposing strategies for exploiting available databases and program data generated at the molecular and cellular levels
- Possession of a Bachelor’s 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 the education requirements, a minimum of eight (8) years of related computational experience in a biological/medical research laboratory environment with a strong background in bioinformatics application development is required
- Must possess experience in analysis of next generation sequencing (NGS) data (including quality metrics, mapping, variant calling, quantitation of gene expression and biological interpretation)
- Experience in analysis of large genomic data sets including integration with data available from public or private sources
- Hands-on experience in data processing and analyzing sequencing and expression and other array data including quality and biological assessment are also essential
- Experience in a computer cluster environment is required
- Proficiency in bash shell scripting and in one or more of the programming languages such as R, C/C++, PYTHON, PERL, JAVA, SQL and bioinformatics tools and database management is essential
- Must be proficient in several genomic data analysis tools such as GATK, Samtools etc., as well as biological pathway/functional analysis
- Expertise in statistical analysis of complex biological data is critical to success
- Experience and demonstrated success in a team-oriented environment and excellent communication skills (written and oral) are also required
- Ability to identify and solve complex problems. Proven knowledge of cancer biology demonstrated through peer reviewed publications is required
- Must be able to obtain and maintain a security clearance
- Experience in algorithm development for NGS data analysis. In-depth understanding of molecular biology techniques, oncology and clinical research
- Experience in data integration, database construction, application development and visualization
- Experience in porting applications to a web environment and working with workflow tools and applications are also desired
Equal Opportunity Employer (EOE) |
Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)