Bioinformatics Analyst III – Frederick National Laboratory for Cancer Research, Bethesda, MD, USA. PostedApr 16, 2020
Frederick National Laboratory focusses on cancer, AIDS, and emerging infectious diseases through discovery and innovation of biomedical science. The laboratory carries out fundamental research with leading science and technology, supports clinical studies and drug development and develops and uses next-generation technologies for the resolution of applied problems while also acting as a national resource for high-tech facilities while responding efficiently to emerging health challenges.
The Biomedical Informatics and Data Science (BIDS) Management Works together and helps the Frederick National Laboratory to meet the challenges of basic and applied biomedical investigation, to support critical operations, to promote and deliver n through the development and application of leading world-scale data science and technology technology.
Advanced biomedical computer science (ABCS) is part of Leidos Biomedical Research, Inc.’s biomedical computer science and data science program (BIDS). ABCS offers high-performance computer support to NCI and NIH scientists and employees through technology development, scientific consultation, collaborations and training.
The Comprehensive Molecular Pathology and Sequencing Services (NCI-COMPASS) have been implemented by the Laboratory of Pathology (LP) NCI. NCI-COMPASS’ objective is to provide the CCR PIs with cutting-edge clinical sequence services. To this end, a CLIA accredited and College of American Pathologists (CAP) accredited program is being developed by NCI-COMPASS to support precise cancer diagnoses, alongside large NGS panels and additional cancer omics technology.
In the NCI-Compass Program at the National Cancer Institute (NCI), Bioinformatics Analyst III is responsible for collaborative bioinformatics support for investigators. He / she’s in charge of:
- The analysis and interpretation of high-throughput biomedical data generated by microarray, next-generation sequencing, proteomics and metabolomics platforms
- Contribute to a team effort in designing, developing and deploying robust workflows, as well as custom scripts, to support the analysis of high-throughput dataMining publicly available biological data to generate novel hypotheses or insights
- Presenting analysis results, in a clear and concise manner, to an audience not familiar with bioinformatics
- Perform biological sequence analysis/assembly and public genome databases
- Train PostDocs and other staff to use NGS and other genomic analysis tools
- Develop other bioinformatic pipelines for processing genomic data such as ChIP-seq, DNAse-seq, single-cell sequencing
- Advise Lab of Pathology researchers about available data analysis pipelines
- Attend branch and lab meetings, and provide guidance and inputs on expt. design and accurate statistical inference
The Bioinformatics Analyst III is expected to work effectively as a team member, to coordinate activities among other groups located at the NCI campuses of Bethesda, Frederick, Rockville, and Gaithersburg, to follow sound scientific practices and maintain effective activity and analysis literature. The main NIH campus in Bethesda is spent most of its time.
To be considered for this position, you must minimally meet the knowledge, skills, and abilities listed below:
- Possession of a Bachelors degree from an accredited college or university according to the Council for Higher Education Accreditation. (Additional qualifying experience may be substituted for the required education). Foreign degrees must be evaluated for U.S. equivalency
- In addition to the educational requirements, a minimum of five (5) years of progressively responsible relevant experience is required
- Must be able to obtain and maintain a clearance.
Candidates with these desired skills will be given preferential consideration:
- A Masters’ 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
- 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
- Familiarity with public databases: NCBI, Ensembl, TCGA, cBioPortal, Broad FireHose
- Knowledge of working in a cluster environment
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