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Position: Bioinformatics Scientist/Engineer
Institution: Profluent
Location: Berkeley, California, United States
Duties: Perform large-scale metagenome assembly across the NCBI Sequence Read Archive; Maintain and expand the world’s largest database of protein sequences; Deploy cloud-based pipelines to process large-scale genomic datasets; Build cloud databases for scalable storage and fast retrieval of terabases of genomic data, including genomes, genes, proteins, and structures; Clearly document code and communicate outcomes to colleagues
Requirements: BS, MS, or PhD in Bioinformatics, Genomics, Computer Science, or a related quantitative bioscience field; 3+ years of industry or postdoc experience; Experience working with Google Cloud Platform (GCP) or other cloud-based compute services (e.g. AWS); Experience building cloud pipelines, pipelining tools (snakemake, nextflow), and containerized applications (docker); Experience with highly parallelized cloud-based computing platforms (Batch or Kubernetes); Experience with scalable databases (BigTable, BigQuery, Snowflake) and proficient in database programming (SQL)
   
Text: Bioinformatics Scientist/Engineer Perform large-scale metagenome assembly across the NCBI Sequence Read Archive; Maintain and expand the world’s largest database of protein sequences; Deploy cloud-based pipelines to process large-scale genomic datasets; Build cloud databases for scalable storage and fast retrieval of terabases of genomic data, including genomes, genes, proteins, and structures; Clearly document code and communicate outcomes to colleagues BS, MS, or PhD in Bioinformatics, Genomics, Computer Science, or a related quantitative bioscience field; 3+ years of industry or postdoc experience; Experience working with Google Cloud Platform (GCP) or other cloud-based compute services (e.g. AWS); Experience building cloud pipelines, pipelining tools (snakemake, nextflow), and containerized applications (docker); Experience with highly parallelized cloud-based computing platforms (Batch or Kubernetes); Experience with scalable databases (BigTable, BigQuery, Snowflake) and proficient in database programming (SQL)
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