Bioinformatics Analyst III, CGR

Job ID: req2570
Employee Type: exempt full-time
Division: Clinical Research Program
Facility: Rockville: 9615 MedCtrDr
Location: 9615 Medical Center Drive, Rockville, MD 20850 USA

The Frederick National Laboratory is a Federally Funded Research and Development Center (FFRDC) sponsored by the National Cancer Institute (NCI) and operated by Leidos Biomedical Research, Inc. The lab addresses some of the most urgent and intractable problems in the biomedical sciences in cancer and AIDS, drug development and first-in-human clinical trials, applications of nanotechnology in medicine, and rapid response to emerging threats of infectious diseases.

Accountability, Compassion, Collaboration, Dedication, Integrity and Versatility; it's the FNL way.

PROGRAM DESCRIPTION

The Cancer Genomics Research (CGR) laboratory in Gaithersburg, MD, is a fast-paced, high-throughput organization dedicated to the support of molecular, genetic and epidemiologic studies for investigators at the National Cancer Institute's Division of Cancer Epidemiology & Genetics (DCEG). The Division includes over 70 principal investigators in epidemiology, genetics, and biostatistics who conduct multidisciplinary family- and population-based research to discover the genetic and environmental determinants of cancer, and new approaches to cancer prevention. This includes the design and analysis of high throughput studies using various types of "-omics" technologies such as array- and sequence-based genome-wide association studies, studies of tumor characteristics using integrated genomic data analysis and molecular epidemiologic studies based on novel metabolomic and macrobiotic assays. We are seeking a highly motivated bioinformatics analyst to join the bioinformatics team at the CGR and provide analytical support to DCEG. Working with DCEG investigators, external collaborators, CGR management and staff, the successful incumbent will provide leadership and support to the extensive DCEG analytical efforts, specifically:

KEY ROLES/RESPONSIBILITIES

• Building, managing, and maintaining pipelines to facilitate high-throughput genomic data analysis
• Performing large-scale data analysis and other support using third party software and our in-house pipelines, including (but not limited to) data QC, reference mapping, variant calling, annotation, microbiome and gene function analysis
• Contributing to the solutions of -omics analysis pipelines through exploring novel software, benchmarking, comparisons, testing, and troubleshooting
• Organizing results into clear presentations and concise summaries of work, in formats useful for scientific interpretation

BASIC QUALIFICATIONS

To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:

• Possession of a bachelor's degree from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) in bioinformatics, computer science, computational biology or related field. Foreign degrees must be evaluated for U.S. equivalency
• In addition to educational requirements, a minimum of five (5) years of related analytical or bioinformatics software development experience
• Hands-on experience in processing sequencing, genotyping, expression and other data utilizing bioinformatics tools
• The ability to construct practical computational tools for data parsing, quality control, modelling and analysis for large-scale genetic or genomics datasets
• Demonstrable shell scripting skills (e.g. bash, awk, sed)
• Strong programming skills (e.g., in one or more of Perl, Python, C/C++, Java)
• Experience managing large datasets and computational tasks, experience working in a Linux environment (especially a computational cluster environment)

PREFERRED QUALIFICATIONS

Candidates with these desired skills will be given preferential consideration:

• Familiarity with public genomic tools, databases and utilities
• Experience with cloud computing platforms
• Familiarity with code management systems and protocols such as Git
• Experience in the field of molecular and population genetics with a strong publication record
• Expertise in statistical programming and data manipulation (e.g. R, MATLAB) is desired
• Team oriented with demonstrated ability to mentor others as well as self-educate in current bioinformatics techniques and resources
• Excellent written and oral communication-ability to communicate clearly and effectively with staff and other groups within CGR and DCEG, and able to interpret data and write scientific reports as well as other written communications

Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)

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