- Doctoral degree
- Master's degree
- Shell Scripting
Scientist - Bioinformatics - Microbial Genomics (US)
BioConsortia is seeking a bioinformatics professional to integrate multiple data types, including genotypic, phenotypic, and microbiome data, to contribute to the discovery and development of microbes for improving agricultural productivity. Under the direction of the Director of Synthetic Biology and Genomics, you will help build a bioinformatic pipeline that will transform raw "-omics" data into meaningful, digestible results. You be will joining a newly formed team with opportunities for professional development and significant intellectual contribution to project teams dedicated to developing new biological products for Agriculture.
The successful candidate will:
Rely upon their experience in academic or industry sciences to identify agriculturally relevant genes or gene clusters derived from gram (+), gram (-) bacteria and fungi.
Work with team leader and project teams to build, customize, and continually improve bioinformatics workflows, data analysis pipelines, and data visualization tools.
Manage data mining the genomics database for gene clusters of interest.
Update and maintain genomic databases and underlying infrastructure.
Work within a team of programmers using a version control system, design and implement unit and integration testing.
Contribute to the interpretation, preparation, and delivery of material in the form of reports and presentations.
Creatively solve problems and take ownership of new projects.
Work well independently, be a self-starter, and bring new ways of working to the research team.
The successful candidate will possess the following background and skills:
MSc or Ph.D. in biological sciences with formal training and expertise in genomic and biological pathway analysis.
A minimum of two years recent industry or academic experience in genomic research.
A track record of research in data mining genomic information and basic programming are highly desirable.
Ability to function in a fast-paced environment with minimal supervision.
Experience and understanding of first- and second-generation sequencing technologies (DNA isolation, library building, and sequencing experience is preferred but not required); third generation sequencing knowledge and experience interfacing with 3rd party sequencing vendors preferred but not required.
Understanding of biochemistry of biological pathways.
R, Python, and bash coding experience.
Experience using git or other version control software.
Experience installing and running a wide variety of bioinformatics tools, preferred but not required.
Experience deploying and maintaining resources on AWS, preferred but not required.
Experience using HPC and cloud-based systems.
Experience using databases such as NCBI, IMG, bactNOGG, ensemble.
Proven ability to apply knowledge of gene clusters to improve understanding on mode of action.
Experience working with Linux command line and common utilities.
Experience with DNA sequence analysis, especially high throughput sequence data, genomics, or microbiome data, preferred but not required.
Basic experience with model of evolution, phylogenetic algorithms, and reconstruct phylogeny from genomics data preferred.
Experience creating user interface shiny applications preferred.
Permanent authorization to work in the USA.