Cape Cod Technology Council, Inc.
Cape Cod Technology Council, Inc.
Cape Cod Technology Council, Inc. is a Cape Cod-based organization that supports innovation and collaboration across the technology sector. Founded in 1996, the council connects local businesses and professionals with technology-focused resources, initiatives, and networking opportunities. Its work spans consulting, healthcare, and education, with a focus on strengthening the regional economy through technology-driven growth.

Remote Research Associate II – Marine Computational Genomics

Apply computational biology and bioinformatics methods to marine microbial and coral reef genomic datasets. Support ocean conservation research at Woods Hole Oceanographic Institution.

Description

  • Analyze marine microbial sequencing data for the Microbial Ecology for Ocean Conservation Laboratory
  • Build and execute bioinformatics pipelines for research data projects
  • Process, statistically analyze, integrate, and visualize sequence-based marine microbial datasets
  • Create bioinformatics and data-analysis platforms for understudied organisms and environmental systems, with a focus on corals and coral reef ecosystems
  • Support research data analysis and management activities
  • Connect projects and analytical tools with the laboratory’s existing high-performance computing cluster
  • Teach students and staff relevant analysis techniques when needed
  • Manage work across multiple concurrent projects
  • Perform duties under the direction of Dr. Amy Apprill’s laboratory

Requirements

  • A master’s degree in computer science, bioinformatics, oceanography, microbiology, chemistry, environmental science, or a related discipline, or a bachelor’s degree with several years of experience
  • Relevant professional experience is preferred
  • Training or experience in bioinformatics is preferred
  • Experience in marine microbiology is preferred
  • An interest in coral reef environments is preferred
  • Experience with comparative genomics, phylogenomics, gene and protein-family analysis, genomic-context and functional inference, genotype-to-phenotype hypothesis development, biosynthetic gene clusters, metabolic pathways, genome and metagenome assembly and annotation, metagenomics, metatranscriptomics, long-read sequencing, HMM-based analyses, protein clustering, large-scale sequence comparison, and 16S rRNA gene analysis
  • Proficiency with Python and scientific libraries, R, Bash/Unix, SQL, Nextflow or Snakemake, HPC environments, SLURM or Sun Grid Engine, AWS, Git, and scalable computational workflows
  • Familiarity with MEGAHIT, Prodigal, HMMER/Pfam, CD-HIT, GATK, and comparative or phylogenetic analysis tools
  • Preferred hands-on experience with sequencing methods, DNA and RNA isolation, PCR, qRT-PCR, microbial cultivation and fermentation, and experimental design linking genomic predictions with biological phenotypes
  • Ability to manage multiple projects simultaneously
  • Submit a complete curriculum vitae with contact details for three references
  • Submit a detailed cover letter describing experience relevant to the position

Benefits

  • Full benefits are provided
  • Comprehensive benefits package
  • Full-time, exempt employment
  • Position is renewable annually based on performance and funding availability

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