Job Description:
•To offer statistical, scientific and computational support to multiple functional groups within Biologics and provide transcriptomics, comparative genomics, and potentially other omics solutions for controlling pests and diseases in plant and promoting plant health using microbes;
• Proactively identifying and incorporating new algorithms and technology to automate the analysis of microbial genomes and plantmicrobe interactions;
• Managing next-generation sequencing (NGS) data and NGS analyses using custom scripts and open source tools;
• Working with other bioinformatics team members to understand their roles and to serve as backups as needed;
• To analyze NGS data including performing comparative genomics, transcriptomics, metagenomics analyses for controlling pests and diseases in plant and promoting plant health using microbes.
• Generate custom scripts to handle NGS data analysis in Python or Perl and work on a high performance cluster;
• To conduct statistical analysis that integrates genomic analyses with phenotypic data, as well as provide statistical support to different functional groups;
• Communicating effectively through listening, documentations and presentations, especially using compelling visualization tools to share analysis and interpretation of data;
• Proactively identifying and incorporating new algorithms and technology to automate the analysis of microbial genomes and to extend the features of existing analysis pipeline;
• Managing next-generation sequencing data and analysis;
• Training research staff on the use of relevant bioinformatics software and tools;
• Working with other non-bioinformatics team members in the Informatics group to understand their roles and to serve as a back-up if needed.
Requirements
The candidate is required to possess the following:
• M.S. and 5+ years of experience, or a Ph.D. in Genomics, Microbiology, Computational Biology, Bioinformatics or Ecology and Evolutionary Genetics, with 3+ years of postgraduate experience;
• Ability to handle a large data set efficiently using scripts, particularly in the analysis of NGS data;
• Genome assembly of microbial genomes;
• In-depth familiarity with various public genomic databases;
• Familiar with commercial and open-source bioinformatics tools;
• Experiences working in the biotech sector focusing on plant health and crop protection;
• Knowledge of statistical software tools and packages;
• Fluent in Python, Perl or other scripting languages;
• Familiar with SQL and some knowledge of using relational databases such as PostgreSQL;
• In-depth knowledge of secondary metabolite production in microbes;
• Previous laboratory experiences;
• Knowledge of bacterial and plant genetics;
• Working with high performance computing clusters.
Additional Info:
[Click Here to Access the Original Job Post]
•To offer statistical, scientific and computational support to multiple functional groups within Biologics and provide transcriptomics, comparative genomics, and potentially other omics solutions for controlling pests and diseases in plant and promoting plant health using microbes;
• Proactively identifying and incorporating new algorithms and technology to automate the analysis of microbial genomes and plantmicrobe interactions;
• Managing next-generation sequencing (NGS) data and NGS analyses using custom scripts and open source tools;
• Working with other bioinformatics team members to understand their roles and to serve as backups as needed;
• To analyze NGS data including performing comparative genomics, transcriptomics, metagenomics analyses for controlling pests and diseases in plant and promoting plant health using microbes.
• Generate custom scripts to handle NGS data analysis in Python or Perl and work on a high performance cluster;
• To conduct statistical analysis that integrates genomic analyses with phenotypic data, as well as provide statistical support to different functional groups;
• Communicating effectively through listening, documentations and presentations, especially using compelling visualization tools to share analysis and interpretation of data;
• Proactively identifying and incorporating new algorithms and technology to automate the analysis of microbial genomes and to extend the features of existing analysis pipeline;
• Managing next-generation sequencing data and analysis;
• Training research staff on the use of relevant bioinformatics software and tools;
• Working with other non-bioinformatics team members in the Informatics group to understand their roles and to serve as a back-up if needed.
Requirements
The candidate is required to possess the following:
• M.S. and 5+ years of experience, or a Ph.D. in Genomics, Microbiology, Computational Biology, Bioinformatics or Ecology and Evolutionary Genetics, with 3+ years of postgraduate experience;
• Ability to handle a large data set efficiently using scripts, particularly in the analysis of NGS data;
• Genome assembly of microbial genomes;
• In-depth familiarity with various public genomic databases;
• Familiar with commercial and open-source bioinformatics tools;
• Experiences working in the biotech sector focusing on plant health and crop protection;
• Knowledge of statistical software tools and packages;
• Fluent in Python, Perl or other scripting languages;
• Familiar with SQL and some knowledge of using relational databases such as PostgreSQL;
• In-depth knowledge of secondary metabolite production in microbes;
• Previous laboratory experiences;
• Knowledge of bacterial and plant genetics;
• Working with high performance computing clusters.
Requeriments :
Skills :
- Bioinformatics
- Biology
- Genetics
- Genome Assembly
- Next Generation Sequencing
- Plant Biology
- Programing in Python
- Programing Skills
- Programming in PERL
Areas :
Additional Info:
[Click Here to Access the Original Job Post]