Bioinformatics Analyst II
October 14, 2022
Bioinformatics Analyst II
Job ID: req2889
Employee Type: exempt full-time
Division: Bioinformatics and Computational Science
Facility: NIH
Location: NIH Campus 9000 Rockville Pike, Bethesda, MD 20892 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 Bioinformatics and Computational Science (BACS) Directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of bioinformatics and computational science by developing and applying world-leading computing technologies to basic and applied biomedical research challenges, data science, supporting critical operations, developing and delivering national data resources, and utilizing leading-edge software.
The Advanced Biomedical and Computational Science (ABCS) group is a part of BACS and serves as a hub of translational scientists with expertise in machine learning applied to the interpretation of 2D and 3D biomedical images, clinical and genomics integration, computational chemistry, protein modeling, bioinformatic analysis of omics data, and other applications of computational and data science. 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.
KEY ROLES/RESPONSIBILITIES
BASIS QUALIFICATIONS
To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
PREFERRED QUALIFICATIONS
Candidates with these desired skills will be given preferential consideration:
EXPECTED COMPETENCIES
Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)
#readytowork
Job ID: req2889
Employee Type: exempt full-time
Division: Bioinformatics and Computational Science
Facility: NIH
Location: NIH Campus 9000 Rockville Pike, Bethesda, MD 20892 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 Bioinformatics and Computational Science (BACS) Directorate works collaboratively and helps to fulfill the mission of Frederick National Laboratory in the areas of bioinformatics and computational science by developing and applying world-leading computing technologies to basic and applied biomedical research challenges, data science, supporting critical operations, developing and delivering national data resources, and utilizing leading-edge software.
The Advanced Biomedical and Computational Science (ABCS) group is a part of BACS and serves as a hub of translational scientists with expertise in machine learning applied to the interpretation of 2D and 3D biomedical images, clinical and genomics integration, computational chemistry, protein modeling, bioinformatic analysis of omics data, and other applications of computational and data science. 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.
KEY ROLES/RESPONSIBILITIES
- As part of the CCR Collaborative Bioinformatics Resource (CCBR), provide collaborative bioinformatics support too investigators at the Center for Cancer Research (CCR), NCI
- Responsible for the analysis & interpretation of high-throughput biomedical data generated by microarray, next-generation sequencing, proteomics and metabolomics platforms
- Design, develop and deploy robust workflows as well as custom scripts to support the analysis of next-generation sequencing data
- Mine publicly available biological data to generate novel hypotheses or insights
- Present analysis results in a clear and concise manner to an audience not familiar with bioinformatics
- Develop analytical workflows for new sequencing technologies
- Work efficiently as a member of a team and collaborate with team members on group efforts
- Follow sound scientific practices and maintain effective documentation of activities and analyses
- Other duties as required
BASIS 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). Foreign degrees must be evaluated for U.S. equivalency
- In addition to the education requirement, a minimum of two (2) years of progressively responsible experience
- Some knowledge of Unix command line or scripting languages
- Ability to obtain and maintain a security clearance
PREFERRED QUALIFICATIONS
Candidates with these desired skills will be given preferential consideration:
- A Master's or PhD degree in any quantitative science is preferred
- Commitment to solving biological problems and communicating these solutions
- Ability to multi-task across projects
- Experience in submitting data sets to public repositories
- Management of large genomic data sets including integration with data available from public sources
- Prior customer-facing role
- Record of scientific achievements including journal publications and conference presentations
EXPECTED COMPETENCIES
- Proficiency in at least two of the following programming languages: Python, R, Perl, Java and C/C++
- Experience in at least two of the following areas: Exome sequencing, metagenomics, ChIPSeq, RNASeq, DHS-Seq, microarray analysis, DNA methylation analysis
- Familiarity with public databases: NCBI, Ensembl, TCGA, cBioPortal, Broad FireHose
- Knowledge of working in a cluster environment
Equal Opportunity Employer (EOE) | Minority/Female/Disabled/Veteran (M/F/D/V) | Drug Free Workplace (DFW)
#readytowork