Roche
PrincipalBioinformaticsScientist
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“Principal Bioinformatics Scientist at Roche. Skills: NGS Data Analysis, Bioinformatics, Computational Biology, Genomics. Analyze and interpret NGS datasets. Perform quality control”
What They're Looking For.
Must Have
Ph.D. in Computational Biology, Computer Science, Mathematics, Statistics, Bioinformatics, Genomics, or a related field, 5-7 years of extensive NGS Data Analysis experience, Proficiency in NGS Tools and Pipelines, Proficiency in programming languages commonly used in computational biology, Experience with shell scripting, Working in a Linux/Unix environment
Nice to Have
Prior postdoctoral or industry experience in computational biology, bioinformatics, or a related field, Expertise in analyzing and interpreting epigenomic datasets, Familiarity with relevant databases, annotation resources, and tools, Experience with machine learning techniques, Statistical modeling, Data mining approaches applied to translational bioinformatics and clinical decision support
What You'll Do.
Analyze and interpret NGS datasets
Perform quality control
Identify and interpret genetic variations
Assess variant functional impact
Integrate NGS data with other omics datasets
Develop and optimize computational algorithms
Visualize and communicate NGS data
Collaborate closely with experimental biologists
Provide computational expertise
Data analysis support
Guidance in experimental design
Lead computational biology projects
Set project objectives
Develop research plans
Coordinate team members
Ensure timely project completion
How You'll Work.
Team & Collaboration
Collaborate closely with experimental biologists, geneticists, and clinicians; Present findings to both technical and non-technical audiences; Present findings to internal stakeholders and external collaborators
Communication Scope
Communicate NGS data and analysis results effectively; Present findings to both technical and non-technical audiences
Process & Methodology
Lead and oversee computational biology projects, Set project objectives, Develop research plans, Coordinate team members, Ensure timely project completion
Full Job Description
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. ### ### The Position We are seeking a highly skilled and experienced Principal Bioinformatics Scientist I specializing in Next Generation Sequencing (NGS) to join our research team. As a Computational Biologist in NGS, you will lead and contribute to cutting-edge projects focused on analyzing and interpreting NGS data, playing a pivotal role in advancing our understanding of complex biological systems, genetic variations, and disease mechanisms. Your expertise and leadership will drive the development and application of innovative computational methods in NGS data analysis. ****The Opportunity:**** * Apply advanced computational methods and algorithms to analyze and interpret NGS datasets, including whole-genome sequencing, exome sequencing, transcriptome sequencing, ChIP-seq, and other relevant NGS applications. Perform quality control, data preprocessing, alignment, variant calling, and annotation. * Utilize your expertise in variant calling and analysis to identify and interpret genetic variations, including single nucleotide variants (SNVs), insertions, deletions, structural variants, and copy number variations. Assess variant functional impact and provide insights into disease mechanisms. * Integrate NGS data with other omics datasets (e.g., transcriptomics, epigenomics) to gain a comprehensive understanding of biological systems. Apply integrative approaches to uncover relationships between genomic alterations, gene expression, and epigenetic modifications. * Develop and optimize computational algorithms, st
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