As a Computational Biologist, you will lead the integration and analysis of complex biological datasets to uncover novel drug targets and biomarkers. You will apply advanced computational and statistical techniques to CRISPR-based gene editing screens, DNA sequencing, transcriptomics, epigenomics, and proteomics data. Collaborating closely with interdisciplinary teams, you will drive data analysis strategies and contribute significantly to our drug discovery and development processes
Requirements:
PhD in Computational Biology, Bioinformatics, Biostatistics, or a related field, with 2+ years of post-PhD experience. Industry experience preferred; Experience in Oncology and knowledge of cancer biology; Experience in cancer genomics and sequencing analysis required. Familiarity with publicly available genomics datasets and omics data resources; Proficiency in programming languages (Python, SQL) and bioinformatics tools/packages (R) and AWS
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Computational Biologist As a Computational Biologist, you will lead the integration and analysis of complex biological datasets to uncover novel drug targets and biomarkers. You will apply advanced computational and statistical techniques to CRISPR-based gene editing screens, DNA sequencing, transcriptomics, epigenomics, and proteomics data. Collaborating closely with interdisciplinary teams, you will drive data analysis strategies and contribute significantly to our drug discovery and development processes PhD in Computational Biology, Bioinformatics, Biostatistics, or a related field, with 2+ years of post-PhD experience. Industry experience preferred; Experience in Oncology and knowledge of cancer biology; Experience in cancer genomics and sequencing analysis required. Familiarity with publicly available genomics datasets and omics data resources; Proficiency in programming languages (Python, SQL) and bioinformatics tools/packages (R) and AWS
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