BACKGROUND:
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.

RESPONSIBILITIES:
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 Research and Functional group 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

Key Roles / Responsibilities:
Build, manage and maintain Snakemake pipelines to facilitate high-throughput genomic data analysis
Test and evaluate new software and data analyses and integrate them into existing pipelines
Work with laboratory staff to build custom analytic tools for new assays and methods
Perform primary data analysis of extensive Human Papillomavirus genomics research program
Organize results into clear presentations and concise summaries of work in formats useful for scientific interpretation
Provide feedback and potential solutions to scientists and management

REQUIREMENTS:
Basic Qualifications:
This is a dual level requisition. It may be filled at either a Bioinformatics Associate II or Bioinformatics Associate III.

Basic Qualifications for a Bioinformatics Associate II:

• 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 two (2) years of related analytical or bioinformatics software development experience
• Proficient in Python and familiar with R and Shell
• Experience handling large datasets on a computational cluster environment
• Demonstrated critical thinking and problem solving skills
• Ability to work semi-independently
• Must be able to obtain and maintain a security clearance

Basic Qualifications for a Bioinformatics Associate III:

• 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
• Proficient in Python and familiar with R and Shell
• Experience handling large datasets on a computational cluster environment
• Demonstrated critical thinking and problem solving skills
• Ability to work independently
• Must be able to obtain and maintain a security clearance

Preferred Qualifications:

• Master's degree or higher
• Hands-on experience with Next Generation Sequencing platforms and their server environments, especially Illumina and Ion Torrent
• Experience with single cell DNA and RNA analytics. Data will be generated from 10X Genomics, PacBio, other platforms
• Experience with publicly available data sources (such as dbGaP, TCGA, GDC, ENCODE, 1000 Genomes, gnomAD, TARGET, GTEX) and diverse genomic annotations
• 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

TERMS:
Full Time

LOCALE:
Gaithersburg, MD

HOW TO APPLY:
Please visit https://leidosbiomed.csod.com/ats/careersite/jobdetails.aspx?site=4&c=leidosbiomed&id=405

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