Research Associate II – MC&G

Cape Cod Technology Council, Inc.

. Process and analyze marine microbial sequence datasets in the Microbial Ecology for Ocean Conservation Laboratory .

Posted 9/29/2026full-timeRemote • Massachusetts • United StatesJuniorMid-Level💰 $70,963 - $91,796 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in bioinformatics and marine microbiology, with proficiency in data analysis, statistical methods, and high-performance computing. Capable of developing bioinformatic pipelines and training others in analysis techniques.

Highest-signal resume keywords

Bioinformatics ExperienceMarine MicrobiologyPython ProficiencyComparative GenomicsHigh-Performance Computing

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

BioinformaticsStatistical AnalysisData VisualizationGenomic AssemblyMetagenomicsLong-Read SequencingPCRQRT-PCRExperimental DesignData Management

Soft Skills

Project ManagementTrainingCollaboration

Tools & Technologies

NextflowSnakemakeHPC SystemsSLURMAWSGitMEGAHITProdigalHMMERCD-HIT

Industry Keywords

Marine Microbial Sequence DatasetsCoral Reef EcosystemsComparative PhylogeneticsFunctional InferenceBiosynthetic Gene Clusters

Tech Stack

Tools & technologies

AssemblyAWSPythonSQLUnix

About the role

Key responsibilities & impact

Process and analyze marine microbial sequence datasets in the Microbial Ecology for Ocean Conservation Laboratory
Develop and run bioinformatic pipelines for data projects
Conduct processing, statistical analysis, integration, and visualization of marine microbial sequence-based datasets
Develop bioinformatics and data analysis platforms for poorly characterized organisms and environmental systems, especially corals and coral reef ecosystems
Contribute to data analysis and data management for research-related tasks
Integrate projects and tools with the existing high-performance computing cluster
Train students and staff in analysis methods when applicable
Balance multiple projects
Work under the supervision of the laboratory led by Dr. Amy Apprill

Requirements

What you’ll need

Master’s degree in Computer Science, Bioinformatics, Oceanography, Microbiology, Chemistry, Environmental Science or a related field is required, or a Bachelor’s degree with multiple years of experience
Relevant work experience is desirable
Bioinformatics experience or training is desirable
Experience in marine microbiology is desirable
Interest in coral reef environments is desirable
Experience with comparative genomics, phylogenomics, gene and protein-family analysis, genomic-context and functional inference, genotype-to-phenotype hypothesis generation, 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 in Python and scientific libraries, R, Bash/Unix, SQL, Nextflow or Snakemake, HPC systems, SLURM or Sun Grid Engine, AWS, Git, and scalable computational workflows
Familiarity with MEGAHIT, Prodigal, HMMER/Pfam, CD-HIT, GATK, and comparative and phylogenetic analysis software
Hands-on experience with sequencing approaches, DNA and RNA isolation, PCR, qRT-PCR, microbial cultivation and fermentation, and experimental design connecting genomic predictions to biological phenotypes is preferred
Ability to balance multiple projects
Full curriculum vitae including contact information for three references
Detailed cover letter outlining prior experience relevant to the position

Benefits

Comp & perks

Full benefits
Comprehensive benefits package
Full-time exempt position
Renewable annually depending on performance and funding availability