Phylos is a crop science company using modern molecular genetics and computational biology to breed the next generation of hemp and cannabis. Since 2014 we have supported grower success with genetic testing products offering unparalleled accuracy and reliability. We are a new generation of plant scientists, transforming the hemp and cannabis industries with elite seeds and clones. By leveraging our deep expertise in the cannabis genome, we are unlocking the potential of this plant to be grown at scale, providing cultivators in every region with the varieties, tools, and expertise to drive business growth.
Phylos is committed to using genetics and genomics in combination with phenotype and environmental data to develop the next generation of cannabis varieties. In this position, the Staff Research and Development Scientist will perform integrated analyses of large multidimensional data sets, perform custom data analysis to assist stakeholders in the interpretation of data, and work closely with the breeding team on genetic marker-assisted breeding projects. Much of the work the Staff Research and Development Scientist will perform will be collaborative and interdisciplinary in nature. Attention to detail and communication skills will be equally as important as your analytical skills.
- Regularly work with laboratory staff to assess genotype data quality and troubleshoot quality control issues.
- Implement current and emerging computational biology and bioinformatics algorithms to analyze, manage, interpret, and visualize data.
- Prepare data sets for analysis, including using SQL to aggregate data and then implementing quality control measures to verify the integrity of the data set.
- Gather detailed requirements from stakeholders and identify existing tools to perform
- Prototype, test, and implement pipelines for automated analysis of genetic data.
- Clearly document analysis paths and maintain an organized well-documented code base.
- Remain abreast of current and emerging genomic and bioinformatics technologies and tools.
- MS or PhD in computational biology, bioinformatics, genetics or related life, physical, or computational sciences.
- Excellent understanding of genetics, genomics, molecular biology, and technologies such as PCR and next-generation sequencing.
- Demonstrated proficiency in the analysis of large-scale genomic sequencing data (especially variant analysis from whole genome or whole exome sequencing data, but also RNA-seq, genome assembly) and experience with a broad spectrum of relevant open-source software or pipelines (e.g., BWA, STAR, GATK, DESeq, etc.).
- Experience working with relevant genomic databases and browsers and their annotations (e.g., NCBI, Refseq, Ensembl, IGV, UCSC Genome Browser).
- Expertise in the use of UNIX/Linux and its command-line environment, including scripting (e.g., shell, Perl, Python, Ruby, etc.).
- Expertise in database queries; experience with postgreSQL preferred.
- Experience implementing QA/QC measures on data sets.
- Experience with code repositories.
- Strong interpersonal, presentation, written, and oral communication skills to convey genomics and bioinformatics principles and concepts to non-specialists in a clear and precise manner.
- Ability to work independently or as part of a multidisciplinary team, taking into account the needs of stakeholders across different departments.
- Excellent troubleshooting and problem-solving skills, including the ability to learn new software quickly.
- Ability to concurrently work on multiple complex projects with effective time management skills, a high level of personal and professional drive and initi