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Bioinformatics Scientist
7 days ago
Client Sequencing Solutions (RSS), a business within Client Diagnostics, is focused on developing a disruptive Next-Generation Sequencing (NGS) platform along with a portfolio of reagents, assays and informatics solutions for multiple disease areas.
We are looking for a Bioinformatics Scientist to support assay development efforts.
In this role, you will collaborate closely with molecular biologists and bioinformatics scientists and apply your strong knowledge in processing and analyzing next generation sequencing technologies.
Responsibilities
Provide hands-on bioinformatics data analyses and troubleshooting of bioinformatics pipelines
Implement innovative algorithms for minimal residual disease and cancer early detection
Collaborate with wet-lab scientists and bioinformaticians to develop new assay methodologies
Work with external collaborators of Client and provide bioinformatics support for them
Present and communicate team activities/project results across multiple functions in the organization
Required Skills:
Documented experience with sequencing/genomic data analysis (NGS), especially in the area of high-throughput sequence analysis
Proficient in general bioinformatics tools including tools for sequence alignment, variant analysis, and database queries
Proficient in Python and R
Proficient working in a Linux HPC environment
Hands-on experience in workflow management system (e.g. Nextflow, Snakemake)
Working understanding of biological concepts and experimental methods commonly used in molecular biology and interest to learn more
Excellent communication, advanced English reading, writing, listening and speaking skills; Responsible and reliable, goal and task oriented.
Preferred Skills:
Strong statistical background
Experience with version control and familiarity with issue tracking systems (i.e .JIRA).
Familiarity with database languages such as SQL
Experience with container-based virtualization (i.e. Docker)
Familiarity with R Shiny App development
Experience with immune repertoires data analysis
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