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,developingand 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 Center for Cancer Research (CCR) houses multiple Flow Cytometry cores offering state-of-the-art high dimensional flow cytometry as an essential scientific resource for CCR/NCI investigators. These cytometry coresoffersup-to-date instrumentation and technical expertise to CCR investigators to assist cancer research. These cores offer end-to-end support to include:(i)Analysisusing flow cytometry including datacollection, statistical reduction and presentation (ii)Cell Sorting, or physical separation of defined cells from mixed samples (iii)Traininginvestigators for cytometer use (iv)Technology Oversightincluding instrument maintenance, quality assurance, life cycle planning and evaluation of emerging instruments, software, reagents, and applications, and (v)Consultingfor assay development and troubleshooting.
Key Roles/Responsibilities
- Develop data analysis tools to generate cluster analysis from high dimensional flow cytometry data files
- Work with Core Managers to optimize data file labeling and organization to improve workflow for cluster analysis
- Interact with flow cytometry cores, colleagues across NCI and FNL to maintain technical currency in bioinformatics, analysis workflows, new technologies, and scientific advances
- Develop,optimizeand streamline bioinformatics workflow scripts for flow cytometry data analysis
- Develop and document protocols consistent with NCI standards and publication
- Ability to analyze scripts and perform basic troubleshooting of bioinformatics workflows
- Develop tools to combine imaging and flow cytometry data
- Detailed understanding of principal relationships in data, algorithms, and program outputs for the bioinformatics pipelines and analyses relevant to the role
- Develop and implement new algorithms to improve the analysis/understanding as needed to support branch projects
- Will have a responsibility to work with the BIDS PAO as may be required
- Other duties as required
Basic QualificationsThis position may be filled with a Bioinformatics Analyst II/III commensuratewith the selected candidates experienceTo 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
- AnalystII – In addition to the education requirement, a minimum of two (2) years of progressively responsible experience
- AnalystIII – In addition to the education requirement, a minimum of five (5) years of progressively responsible experience
- Ability to obtain and maintain a security clearance
Preferred QualificationsCandidates with these desired skills will be given preferential consideration:
- Possession of a Masters’ (Analyst II) ordoctorate(Analyst III)degree in any quantitative science is preferred
- Commitment to solving biological problems and communicating these solutions
- Ability to multi-task across projects
- Management of large genomic datasetsincluding;integration with data available from public sources
- Prior customer-facing role
- Prior experience withhigh dimensional flow cytometrydata analysis
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, microarray analysis, DNA methylation analysis, single-cell transcriptomics,high dimensional flow cytometry, imaging data analysis
- Knowledge of working in a cluster environment
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