Rutgers University Waksman Institute is seeking a Post Doctoral Research Fellow on the Bioinformatics. The incumbent will assist Genomics Core in the data analysis, integration and visualization. S/he will work on a range of high throughput omics (genome, transcriptome, metabolome etc) data, and cutting edge projects on complex diseases.
Minimum Education and Experience
• Ph.D. in Bioinformatics, Statistics genetics, Computer science and/or population genetics
• Experience in genomics analysis, next generation sequencing, and pipeline/database development
• Proficiency in Unix/Linux environment, and with at least one programming language (Python, R, Perl, Java, C/C++ etc.)
• Excellent knowledge and experience with large scale biological data analyses especially high-throughput sequencing data
• Background in statistics and/or machine learning preferred
• Establish reproducible data analysis pipeline, detailed documentation for method and results, and presentation and explain data and conclusion.
• Familiarity with immunology and infectious disease a strong plus
• Strong communication skills (verbal and technical) required
• Detail oriented with ability to execute complex protocols
• Team oriented with excellent written and verbal communication skills, and demonstrated ability to self-educate in current bioinformatics techniques and resources
Required Knowledge, Skills, and Abilities
1) to run analysis pipelines for NGS (next generation sequencing) data to support the Waksman Genomics Core activities
(2) help researchers in bioinformatics processing and analysis of NGS data using the appropriate genomics tools
(3) Development of innovative methods and/or novel applications of existing methods
(4) Implementation of newly developed pipelines adopted by others in the field
(5) Provide bioinformatics expertise in the planning and implementation of research concepts
(6) To design and deploy analysis pipeline suitable for each project
(7) To optimize analysis parameters including the development of research data standards
(8) To use current open source software in conducting data analysis for NGS at basic and advanced levels
(9) To work closely with experimental researchers to generate and provide analysis reports, project reports and perform requested custom analysis
Please Apply using the link below,
Minimum Education and Experience
• Ph.D. in Bioinformatics, Statistics genetics, Computer science and/or population genetics
• Experience in genomics analysis, next generation sequencing, and pipeline/database development
• Proficiency in Unix/Linux environment, and with at least one programming language (Python, R, Perl, Java, C/C++ etc.)
• Excellent knowledge and experience with large scale biological data analyses especially high-throughput sequencing data
• Background in statistics and/or machine learning preferred
• Establish reproducible data analysis pipeline, detailed documentation for method and results, and presentation and explain data and conclusion.
• Familiarity with immunology and infectious disease a strong plus
• Strong communication skills (verbal and technical) required
• Detail oriented with ability to execute complex protocols
• Team oriented with excellent written and verbal communication skills, and demonstrated ability to self-educate in current bioinformatics techniques and resources
Required Knowledge, Skills, and Abilities
1) to run analysis pipelines for NGS (next generation sequencing) data to support the Waksman Genomics Core activities
(2) help researchers in bioinformatics processing and analysis of NGS data using the appropriate genomics tools
(3) Development of innovative methods and/or novel applications of existing methods
(4) Implementation of newly developed pipelines adopted by others in the field
(5) Provide bioinformatics expertise in the planning and implementation of research concepts
(6) To design and deploy analysis pipeline suitable for each project
(7) To optimize analysis parameters including the development of research data standards
(8) To use current open source software in conducting data analysis for NGS at basic and advanced levels
(9) To work closely with experimental researchers to generate and provide analysis reports, project reports and perform requested custom analysis
Please Apply using the link below,
