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Position: Bioinformatics Scientist
Institution: Trace Genomics
Location: United States
Duties: Develop and test bioinformatics methods (proportional to bioinformatics experience); Contribute to bioinformatics infrastructure (proportional to programming experience); Curate and maintain taxonomic and functional gene databases; Develop algorithms and applications for inferring biological knowledge from metagenomic data; Keep up to date with the latest developments in algorithms for analysis of metagenomics data and its applications in the field of agriculture/soil sciences; Perform custom analytics to investigate pipeline performance, develop new data products, or satisfy customer requests
Requirements: Ph.D. or equivalent experience in microbiology or bioinformatics; Expertise in the analysis and interpretation of metagenome data; Working knowledge of Python (preferred) or R to read code, write functions, create plots; Experience packaging and documenting code for re-use by other team members or for deployment in production; Experience creating custom reference datasets from large publicly available resources (NCBI, uniprot, etc)
   
Text: Bioinformatics Scientist Develop and test bioinformatics methods (proportional to bioinformatics experience); Contribute to bioinformatics infrastructure (proportional to programming experience); Curate and maintain taxonomic and functional gene databases; Develop algorithms and applications for inferring biological knowledge from metagenomic data; Keep up to date with the latest developments in algorithms for analysis of metagenomics data and its applications in the field of agriculture/soil sciences; Perform custom analytics to investigate pipeline performance, develop new data products, or satisfy customer requests Ph.D. or equivalent experience in microbiology or bioinformatics; Expertise in the analysis and interpretation of metagenome data; Working knowledge of Python (preferred) or R to read code, write functions, create plots; Experience packaging and documenting code for re-use by other team members or for deployment in production; Experience creating custom reference datasets from large publicly available resources (NCBI, uniprot, etc)
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