Job Description:
As a key member of the VL45 Research and Development team, the Scientist, Computational Biology will enable VL45’s pioneering work in microbiome pharmacology. In close collaboration with VL45 team members in chemistry and biology, the candidate will develop and apply computational methods that support VL45’s efforts to identify bacterial metabolites, metabolic pathways, and novel natural products with the potential to impact host physiology. Prerequisites: -Significant research experience in computational biology/bioinformatics, with demonstrated ability to work effectively in a closely integrated interdisciplinary team and derive actionable biological conclusions from next-generation sequencing data. -Ph.D. in Computational Biology or related field. Skills/Knowledge: -Proficiency in a relevant programming language such as Python or R and standard command line tools -Experience working with shotgun metagenome sequencing data from complex environments -Experience predicting or annotating enzyme functions based on gene or amino acid sequences -Familiarity with applicable databases (e.g. KEGG, BioCyc, PFAM, EggNOG…) -Experience with the human microbiome preferred -Knowledge of metabolic-pathway-oriented analysis methods preferred -Natural product discovery experience preferred Job Type: Full-time Job Location: Cambridge, MA 02139 Required experience:Postdoctoral: 2 years
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As a key member of the VL45 Research and Development team, the Scientist, Computational Biology will enable VL45’s pioneering work in microbiome pharmacology. In close collaboration with VL45 team members in chemistry and biology, the candidate will develop and apply computational methods that support VL45’s efforts to identify bacterial metabolites, metabolic pathways, and novel natural products with the potential to impact host physiology. Prerequisites: -Significant research experience in computational biology/bioinformatics, with demonstrated ability to work effectively in a closely integrated interdisciplinary team and derive actionable biological conclusions from next-generation sequencing data. -Ph.D. in Computational Biology or related field. Skills/Knowledge: -Proficiency in a relevant programming language such as Python or R and standard command line tools -Experience working with shotgun metagenome sequencing data from complex environments -Experience predicting or annotating enzyme functions based on gene or amino acid sequences -Familiarity with applicable databases (e.g. KEGG, BioCyc, PFAM, EggNOG…) -Experience with the human microbiome preferred -Knowledge of metabolic-pathway-oriented analysis methods preferred -Natural product discovery experience preferred Job Type: Full-time Job Location: Cambridge, MA 02139 Required experience:Postdoctoral: 2 years
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