Hybrid Bioinformatics Scientist: Genomics Analytics

MyOme; United States; Hybrid; USD 103,000 - 193,000; Full time

Benefits offered by this job

Healthcare coverage

401K

Unlimited PTO

Company off-sites

Career growth opportunities

Job summary

MyOme seeks an experienced bioinformatics scientist/biostatistician contractor to develop new diagnostic software, leveraging genomics knowledge with robust statistics in streamlined bioinformatics workflows. This is a full-time contracting role spanning cross-team collaboration with external partners.

You will lead statistical algorithm development, build an analysis platform with QC, visualization and dashboards, and help design clinical validation plans ensuring regulatory compliance.

Qualifications

• Master’s degree (PhD preferred) in a quantitative field (statistics, genetics, bioinformatics, computational biology or a related field)
• 3 years experience in statistical analysis of NGS data
• Coding fluency in R or Python
• Experience planning and performing statistical analysis on genomics data
• Experience working with next-generation sequencing data (exome, genome) and/or long-read technology (Nanopore, PacBio)
• Experience with bioinformatics tools including bcftools, samtools, bedtools, plink, etc.
• Ability to quickly evaluate the methodology of open source tools and implement new tools
• Familiarity with genomic databases such as UCSC, NCBI (dbSNP, Clinvar), Ensembl
• Experience managing computational tasks in a cloud environment (AWS or GCP)
• Solid understanding of the Linux environment and shell scripting
• Excellent communication and presentation skills to a diverse audience
• Experience working within a hybrid remote team
• Experience with Nextflow is a plus

Responsibilities

• Lead the development and implementation of statistical algorithms to garner genomic insights in novel diagnostic areas and implement them in production-ready pipelines
• Contribute to the build out of an analysis platform that incorporates quality control status, analysis, visualization and process dashboards for genomic data
• Work with cross-functional teams to manage, process, analyze and interpret genomic data
• Help design and conduct clinical validation study plans and reports
• Work with our Clinical Lab Director to make sure all algorithms comply with regulatory standards
• Work and communicate regularly with external partners or collaborators on shared projects
• Contribute to intellectual property or publications

Skills

R programming

Python programming

Statistical analysis

Genomics data interpretation

Cloud computing

Linux shell scripting

Communication

Team collaboration

Education

Master's degree (PhD preferred) in statistics/genetics/bioinformatics/computational biology

Tools

bcftools

samtools

bedtools

plink

Nextflow

Job description

MyOme seeks an experienced bioinformatics scientist/biostatistician contractor to develop new diagnostic software, leveraging genomics knowledge with robust statistics in streamlined bioinformatics workflows. This is a full-time contracting role spanning cross-team collaboration with external partners.

You will lead statistical algorithm development, build an analysis platform with QC, visualization and dashboards, and help design clinical validation plans ensuring regulatory compliance.