Bioinformatics Scientist - With National Institute of Health
Bioinformatics Scientist - With National Institute of Health
PriceSenz
Rockville, MD
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Location : IC: NCI Street: 9609 Medical Centre Dr. Bldg.: 9609 Room: 7E202 City: Rockville State & Zip: MD 20850
Weekly Hours - FT: 30-40 hours per week Total No. of Hours : 40
Payrate - $56 hourly on W2
Overall Position Summary And Objectives
Under this task order, the contractor will independently provide support services to satisfy the overall operational objectives of the National Cancer Institute, Division of Cancer Epidemiology and Genetics. The primary objective is to provide services and deliverables through performance of support services.
Min Education - Master's
Resume Max Pages - 15
Certifications & Licenses
Software
Provides programming and troubleshooting support to the Federal Government in the dissemination of research data.
Weekly Hours - FT: 30-40 hours per week Total No. of Hours : 40
Payrate - $56 hourly on W2
Overall Position Summary And Objectives
Under this task order, the contractor will independently provide support services to satisfy the overall operational objectives of the National Cancer Institute, Division of Cancer Epidemiology and Genetics. The primary objective is to provide services and deliverables through performance of support services.
Min Education - Master's
Resume Max Pages - 15
Certifications & Licenses
- At least bachelor's degree or master's degree (preferred) in Bioinformatics, Computer Science, Biomedical Engineering, Statistics, Biostatistics, or related areas.
- The successful candidate must possess excellent skills in algorithmic implementation of statistical models, programming and data manipulation, using e.g. R, Python, and contemporary, opensource bioinformatics tools and database structures (e.g. PLINK, VCFTools, UCSC Genome Browser, etc.).
- The candidate must have programming experience with Shell/Bash, Python, C++, and/or R; and be team oriented with excellent written and verbal communication skills, with demonstrated ability to self-educate in current bioinformatics techniques and resources.
- Preferred qualifications include experience with analysis of genetic data including analysis of GWAS summary statistics and familiarity with genetic databases such as dbSNP, TCGA, 1000 Genomes; experience managing large datasets and computational tasks, experience working in a high-performance compute cluster environment.
- Candidate will be passionate about analysis of genetic and genomic data related to cancer development, progression, and tumour evolution.
- The successful candidate must possess excellent skills in algorithmic implementation of statistical models, programming and data manipulation, using e.g. R, Python,
- Preferred qualifications include experience with analysis of genetic data including analysis of GWAS summary statistics and familiarity with genetic databases such as dbSNP, TCGA, 1000 Genomes and contemporary, opensource bioinformatics tools and database structures (e.g. PLINK, VCFTools, UCSC Genome Browser, etc.)
- Experience managing large datasets and computational tasks, experience working in a high-performance compute cluster environment.
- Candidate will be passionate about analysis of genetic and genomic data related to cancer development, progression, and etiology.
- Bachelor's or master's Degree
- Strong verbal and written communication skills. - Experience with data mining and visualization for large-scale next-generation sequencing data (such as WGS data) - Excellent analytical, organizational and time management skills.
Software
- R
- PowerPoint
- Python
- Miscellaneous Biology
Provides programming and troubleshooting support to the Federal Government in the dissemination of research data.
- Install, troubleshoot, and run open-source and commercial scientific software and bioinformatics techniques used in data analysis. 5
- Support and analyse large-scale genetic and genomic data from epidemiological studies. This includes but are not limited to data manipulation, algorithmic implementation, statistical programming, and integrated genomic analyses. 1
- Develop computational pipelines for processing and analysis of a variety of next-generation sequencing data. 2
- Provide support and expertise in the Unix operating system and programming languages (including Python, R and C++). 4
- Contribute to manuscript development, including manuscript drafting and critical review of manuscript content
- Develop robust pipelines to integrate publicly available data into the downstream analysis of NCI-generated data. 3
- Provide support and expertise in the Unix operating system and programming languages (including Python, R and C++).
- Work with staff on the development and maintenance of bioinformatics tools, scripts and pipelines for data.
- Collaborate with staff to review current and historical procedures for the acquisition, quality control and management of data.
- Install, troubleshoot, and run open-source and commercial scientific software and bioinformatics techniques used in data analysis.
- Collaborate with group members in experiments associated with data collection.
- Attend group meetings; present findings; author publications resulting from projects
-
Seniority level
Entry level -
Employment type
Temporary -
Job function
Research, Analyst, and Information Technology -
Industries
IT Services and IT Consulting
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