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Minimum of 10 years of experience in data science, with substantial experience in next-generation sequencing (NGS) data analysis (minimum of 5+ years with PhD degree. - Advanced skills in statistical analysis, machine learning, and bioinformatics, specifically related to NGS.
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Provide best-¬practices data analysis, including QC and visualization, employing common NGS pipelines such as RNA¬seq, ChIP¬-seq, ATAC-seq, Methyl-seq, DNA¬-seq, and Microbiome Sequencing. REQUIRED QUALIFICATIONS: PhD in Bioinformatics, Computational Biology, Physics, Computer Science or related field.
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PhD or equivalent in immunology, molecular biology, protein/antibody engineering or related fields with typically 0+ years of industry experience; or masters degree with typically 8+ years of industry experience; or bachelor's degree with typically 10+ years of industry experience.
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Identification, testing, import of NGS datasets related to microbiome data, and design and application of complex analysis protocols and pipelines, harmonization and result reporting of analyzed genomics datasets.
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In this position you will be responsible for identifying and classifying variants/mutations detected through molecular genetic testing performed on our Next-Generation Sequencing (NGS), Sanger Sequencing and MLPA platforms.
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Computer skills including experience analyzing and interpreting Next Generation Sequencing (NGS) data in a clinical laboratory environment. Hold an MS or PhD in Genetics or related life science field, or licensed as a genetic counselor.
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Proficiency in working with bulk and single cells NGS data, bioinformatics databases including PPI, CRISPR, Proteomics, or Metabolome. Technical knowledge of Next-Generation Sequencing (NGS) design and data analysis pipelines including CRISPR (preferable) and omics analysis.
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As a Computational Biologist in our Next Generation Sequencing (NGS) group, you'll support Ginkgo's organism engineering programs by delivering insights from genomic, transcriptomic, and metagenomic datasets.
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Lead a team of bioinformaticians while collaborating closely with lab scientists and engineers to build and maintain complex NGS pipelines. PhD and seasoned experience in Bioinformatics. Lead a team of bioinformaticians while collaborating closely with lab scientists and engineers to build and maintain complex NGS pipelines.
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PhD (preferred) or Masters degree in molecular biology, biochemistry, or a closely related discipline and co-authorship of peer-reviewed scientific publications. Very strong technical proficiency in NGS technologies, workflows and performance metrics, particularly sample preparation (biological sample to sequencing-ready library) protocols and chemistries.
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PhD or equivalent and 4+ years of relevant experience; may include postdoc experience, Gene Therapy positions will require a PhD in Pharmacology, Neuroscience, Endocrinology, Physiology, or closely related discipline.
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Required Qualifications Qualifications:Ph. D. in molecular biology, synthetic biology, bioengineering, or similar area of studySubject matter expertise in molecular biology laboratory techniques including: cell and microorganism culture, sterile technique, cloning, PCR/qPCR, NGS library preparations and NGS sequencing platforms.
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MS degree with 5+ years or PhD plus experience in NGS library construction. Experience with NGS sequencing instrument and sequencing run set up preferred. Familiar with NGS sample and library prep workflows.
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MSc or PhD in Molecular Biology or Related Field. Involvement in managerial roles centered around storage of sequencing data, databases, and/or NGS-diagnostics is ideal. Minimum of 5 years of relevant technical experience with a Bachelor's degree (e.g. Molecular Genetics/Virology/Molecular Biology or related Discipline) or Minimum of 8 years of relevant technical experience with an Associate's degree.
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Leverage NGS and machine learning techniques together with the sequencing and data science teams to improve the development of tailored AAV capsids. A PhD in Molecular Biology, Cell Biology, Virology, Immunology, or a related field.
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