Bioinformatics Analyst II/III
October 8, 2023
Bioinformatics Analyst II/III
Job ID: req3605
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 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.
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 Genetics Branch (GB, Center for Cancer Research, NCI, https://ccr.cancer.gov/Genetics-Branch ) undertakes basic research as well as clinical and translational research activities. Under the purview of the basic research umbrella, the branch conducts research on the elucidation of the necessary and sufficient factors that govern genetic instability, the description of common/disparate themes among different types of instability, and the cataloging of distinct patterns of gene expression in tumors compared to normal tissues. Under the mantle of clinical research, the branch undertakes patient cancer risk screening, education, counseling, genetic testing, and the development of appropriate surveillance and prevention options that take into account the category of risk that an individual patient, family, or population represents. The translational research that supports this clinical enterprise consists of four components: (1) molecular diagnostics; (2) genotype/phenotype correlations; (3) the development of biomarkers that can be used for risk assessment and as intermediate endpoints for chemoprevention trials; and (4) targeted therapy and assays for active agents based on the underlying genetics and mechanism(s) of genetic instability that distinguish a tumor from the normal cells from which it arose. Under the leadership of Dr. Paul Meltzer (Chief) and Dr. Javed Khan (Deputy Chief), the branch comprises of several research groups led by Principal Investigators focusing on complementary areas of interest. In FY 2021, the Genetics Branch (GB) formed an OMICS facility which will provide access to state-of-the-art OMICS technologies and computational biology resources and support to GB Investigators. The OMICS facility also plans on developing and implementing tools for data integration and databases to allow easy access to all the data for all staff in the branch including trainees.
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:
Commitment to Diversity
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
#readytowork
Job ID: req3605
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 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.
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 Genetics Branch (GB, Center for Cancer Research, NCI, https://ccr.cancer.gov/Genetics-Branch ) undertakes basic research as well as clinical and translational research activities. Under the purview of the basic research umbrella, the branch conducts research on the elucidation of the necessary and sufficient factors that govern genetic instability, the description of common/disparate themes among different types of instability, and the cataloging of distinct patterns of gene expression in tumors compared to normal tissues. Under the mantle of clinical research, the branch undertakes patient cancer risk screening, education, counseling, genetic testing, and the development of appropriate surveillance and prevention options that take into account the category of risk that an individual patient, family, or population represents. The translational research that supports this clinical enterprise consists of four components: (1) molecular diagnostics; (2) genotype/phenotype correlations; (3) the development of biomarkers that can be used for risk assessment and as intermediate endpoints for chemoprevention trials; and (4) targeted therapy and assays for active agents based on the underlying genetics and mechanism(s) of genetic instability that distinguish a tumor from the normal cells from which it arose. Under the leadership of Dr. Paul Meltzer (Chief) and Dr. Javed Khan (Deputy Chief), the branch comprises of several research groups led by Principal Investigators focusing on complementary areas of interest. In FY 2021, the Genetics Branch (GB) formed an OMICS facility which will provide access to state-of-the-art OMICS technologies and computational biology resources and support to GB Investigators. The OMICS facility also plans on developing and implementing tools for data integration and databases to allow easy access to all the data for all staff in the branch including trainees.
KEY ROLES/RESPONSIBILITIES:
- Provide state-of-the art bioinformatics support for the analysis, interpretation, and visualization of next-generation sequencing (NGS) data and other Omics applications (eg. Bulk & scRNASeq, long read sequencing, WGS/WES sequencing, ChIPSeq, DNA methylation etc.)
- Interact with collaborators to project goals, facilitate experimental design, and suggest bioinformatics solutions for biological and translational questions
- Automate bioinformatics pipelines incorporating existing open-source tools and custom algorithms.
- Manage active and archival storage; submit datasets to public databases
- Prepare analysis summaries and reports and version control scripts and pipelines on GitHub
- Research new techniques for bioinformatics analysis and perform benchmarking of tools
- Generate detailed, up-to-date documentation and code libraries on SharePoint and GitHub
- Provide technical support and training to Genetics Branch PIs and staff, including access to public databases and web-based tools
BASIS QUALIFICATIONS:
To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
- Possession of Bachelor's degree from an accredited college/university according to the Council for Higher Education Accreditation (CHEA) or four (4) years relevant experience in lieu of degree. Foreign degrees must be evaluated for U.S. equivalency.
- Bioinformatics Analyst II - In addition to the education requirement, minimum two (2) years of progressively responsible experience
- Bioinformatics Analyst III - In addition to the education requirement, minimum five (5) years of progressively responsible experience
- Ability to obtain and maintain a security clearance
PREFERRED QUALIFICATIONS
Candidates with these desired skills will be given preferential consideration:
- Possession of a Ph.D. degree in any quantitative science
- 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
- Experience with multi-omic integration of NGS datasets
- Familiarity with designing and deploying automated analysis pipelines on HPC and Cloud environments
EXPECTED COMPETENCIES:
- Deep understanding of and experience in processing high throughput biomedical data: data cleaning, normalization, analysis, interpretation, and visualization
- Ability to understand and analyze data from complex experimental designs
- 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, long-read technologies, DNA methylation analysis, single-cell transcriptomics
- Familiarity with public databases: NCBI, Ensembl, TCGA, cBioPortal, Broad FireHose
- Knowledge of working in a cluster environment
Commitment to Diversity
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.
#readytowork