Bioinformatics Analyst IV

Job ID: req2546
Employee Type: exempt full-time
Division: Biomedical Informatics & Data Science
Facility: Frederick: ATRF
Location: 8560 Progress Dr, Frederick, MD 21701 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 Frederick National Laboratory is dedicated to improving human health through the discovery and innovation in the biomedical sciences, focusing on cancer, AIDS and emerging infectious diseases.

The Biomedical Informatics and Data Science (BIDS) directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of biomedical informatics and data science by developing and applying world leading data science and computing technologies to basic and applied biomedical research challenges, supporting critical operations, developing and delivering national data resources, and employing leading-edge software and data science to effectively enable and advance clinical trials.

The Advanced Biomedical and Computational Science (ABCS) group is a part of BIDS within Leidos Biomedical Research as a technological hub of translational scientists with expertise in structural biology, biology, chemistry, imaging, and informatics. ABCS develops state-of-the-art technologies in large-scale data modeling, analysis, and integration and supports the scientific research at the Frederick National Lab by helping translate scientific questions to technical solutions for cancer and biomedical research.

The Sequencing Facility (SF) has been established to manage the operation of multiple platforms for next-gen and third-generation sequencing in support of NCI investigators. The SF provides services to many CCR and NIAID investigators and their collaborators, processes several thousand samples and generates hundreds of trillions bases of sequencing data annually using such instruments as the NovaSeq, NextSeq, PacBio and Oxford Nanopore.

KEY ROLES/RESPONSIBILITIES

• Responsible for providing bioinformatics support including the management and analysis of high throughput next-generation sequencing (NGS) data from Illumina, PacBio, Oxford Nanopore and other NGS platforms
• Guide the development, execution, and continual improvement of robust, tested pipelines for a wide variety of computational genomics applications, with an emphasis on scalability, portability, and thorough documentation
• Utilize computational biology methods to integrate, analyze and visualize results with data sets obtained from a wide variety NGS platforms and applications including RNA-seq, whole genome sequencing, ATAC-seq/Chip-Seq, single cell analysis
• Expand and develop analysis workflows and pipelines as new sequencing capabilities come online
• Provide biological interpretation of analysis results and present results to project teams
• Collaborate with other bioinformatics team members to ensure the quality of work and the prioritization of projects to meet deadlines

BASIC QUALIFICATIONS

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

• Possession of Master's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) in biomedical science/bioinformatics/ math/computer related field or six (6) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency
• In addition to education requirements, a minimum of (10) years related experience in a biological research laboratory environment with strong expertise in bioinformatics application development
• Deep knowledge in next generation sequencing and analysis workflows such as RNA-seq, whole genome sequencing, Chip-seq and metagenomics analysis, construction of data analysis pipelines, and quality control/quality assurance analysis
• Extensive experience in next generation sequencing analysis and biological interpretation, including data quality assessment, sequencing data assembling, mapping, mutation and structural variation analysis, gene/transcript profiling and splicing analysis
• Strong computational/bioinformatics skills and demonstrated ability to work with scientists to deliver on objectives in defined timelines are required
• Independence, self-motivation, innovation and ability to excel in a goal-oriented, multifaceted and fast-moving team environment are required
• Experience and demonstrated success in a team-oriented environment and excellent communication skills (written and oral); ability to organize and execute multiple projects in parallel
• Ability to obtain and maintain a security clearance

PREFERRED QUALIFICATIONS

Candidates with these desired skills will be given preferential consideration:

• Possession of a PhD degree from an accredited college or university according to the Council for Higher Education Accreditation (CHEA) or eight (8) years of related experience. Foreign degrees must be evaluated for U.S. equivalency
• Peer reviewed publications demonstrating knowledge of the biology of cancer
• Experience in single-cell genomic and transcriptomic sequencing technologies and data analyses
• Experience in data integration and application development
• Familiarity with publicly available data sources such as ENCODE, Ensembl, NCBI, TCGA, cBioPortal, Broad FireHose
• Knowledge of working in a cluster environment
• Experience with Snakemake, make, or other workflow management systems
• Commitment to solving biological problems and communicating these solutions. Proven success in independent efforts and delivering high quality data with biological relevance to customers.

EXPECTED COMPETENCIES

• Proficiency in Unix/Linux scripting
• Proficiency in at least two of the following programming languages: Python, R, Perl, Java, C/C++
• Excellent written and verbal communication skill
• Strong time management and organizational skills

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

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