{"schemaVersion":"jobsearcher.job.v1","id":"d2196bddf3193b7a29e7b032","url":"https://jobsearcher.com/jobs/d2196bddf3193b7a29e7b032","canonicalUrl":"https://jobsearcher.com/jobs/d2196bddf3193b7a29e7b032","title":"Associate Bioinformatics Data Scientist","description":"Position Purpose\nA bioinformatics data scientist is responsible for providing experimental design consulting and data analysis for large, high-throughput genomic experiments, with a focus on forensics and metagenomics. The bioinformatics data scientist will be responsible for designing and implementing annotated code for managing, manipulating, and analyzing large-scale genomic data, and for preparing thorough documentation and reporting.\n\nThis position is a full-time, on-site role at the Signature Science office in Charlottesville, VA.\nEssential Duties and Responsibilities\n\nDevelop tools for management, analysis and interpretation of high-density microarray and whole genome sequencing data.\n\nManage, manipulate, and analyze data using a combination of R, python, and UNIX tools.\n\nUse established domain-specific open-source software and tools to manipulate and analyze genomic data.\n\nImplement and execute data processing workflows and automated analytic pipelines.\n\n- Apply literate‑programming methods to develop reproducible workflows that produce consistent, standardized tables and figures.\n\nConduct workflow benchmarking and documentation, identifying inconsistencies and resolving data problems.\n\nPrepare SOPs, document source code/workflows, and write reports to summarize computational requirements, processing status, and customized analysis results.\n\nRequired Knowledge, Skills & Abilities\n\nAdvanced proficiency working in a Unix/Linux environment.\n\nAdvanced proficiency with open-source software, tools, and databases for analyzing next-generation sequencing data (whole-genome sequencing, RNA-seq, epigenetics, microbiome, and metagenomics).\n\nProficiency working with and developing using Docker and/or Singularity container technology.\n\nProficiency using version Control software (e.g., Git or similar) to manage programming code.\n\nProficiency with Python, Perl, or another scripting language.\n\nProficiency with R, RMarkdown, and the \"tidyverse\" tools for data analysis.\n\nPreferred: Experience with NextFlow, SnakeMake, or similar workflow/pipeline management systems.\n\nPreferred: Familiarity with developing and querying relational databases.\n\nPreferred: Familiarity with AWS and/or Azure cloud computing.\n\nEducation/Experience\n\nBA or BS in Computer Science, Bioinformatics, or related field\n\nExperience managing and analyzing large-scale datasets produced sequencing platforms and delivering solutions for managing, visualizing, analyzing, and interpreting genomic data\n\nExperience using Linux/Unix text processing tools, R, and other open-source tooling to manipulate and format data, to assess data quality, and analyze data.\n\nClearance\n\nThis position requires that the candidate be willing and able to complete a successful background screening for a security clearance. Candidates with a current security clearance will receive preference.\n\nSupervisory Responsibilities\n\nMay serve as a bioinformatics task lead.\n\nWorking Conditions/ Equipment\n\nAbility to work in varying conditions to include: traditional office environments with sedentary extended periods required for code development and testing.\n\n#J-18808-Ljbffr","company":"Socket","rawCompany":"socket","city":"Charlottesville","state":"VA","isRemote":false,"isActive":true,"createdAt":"2026-07-27T03:15:03.012Z","occupations":[{"code":"19-1029.01","title":"Bioinformatics Scientists","slug":"bioinformatics-scientists"},{"code":"15-2099.01","title":"Bioinformatics Technicians","slug":"bioinformatics-technicians"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541714","title":"Research and Development in Biotechnology (except Nanobiotechnology)","slug":"research-and-development-in-biotechnology-except-nanobiotechnology"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541990","title":"All Other Professional, Scientific, and Technical Services","slug":"all-other-professional-scientific-and-technical-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Associate Bioinformatics Data Scientist","description":"Position Purpose\nA bioinformatics data scientist is responsible for providing experimental design consulting and data analysis for large, high-throughput genomic experiments, with a focus on forensics and metagenomics. The bioinformatics data scientist will be responsible for designing and implementing annotated code for managing, manipulating, and analyzing large-scale genomic data, and for preparing thorough documentation and reporting.\n\nThis position is a full-time, on-site role at the Signature Science office in Charlottesville, VA.\nEssential Duties and Responsibilities\n\nDevelop tools for management, analysis and interpretation of high-density microarray and whole genome sequencing data.\n\nManage, manipulate, and analyze data using a combination of R, python, and UNIX tools.\n\nUse established domain-specific open-source software and tools to manipulate and analyze genomic data.\n\nImplement and execute data processing workflows and automated analytic pipelines.\n\n- Apply literate‑programming methods to develop reproducible workflows that produce consistent, standardized tables and figures.\n\nConduct workflow benchmarking and documentation, identifying inconsistencies and resolving data problems.\n\nPrepare SOPs, document source code/workflows, and write reports to summarize computational requirements, processing status, and customized analysis results.\n\nRequired Knowledge, Skills & Abilities\n\nAdvanced proficiency working in a Unix/Linux environment.\n\nAdvanced proficiency with open-source software, tools, and databases for analyzing next-generation sequencing data (whole-genome sequencing, RNA-seq, epigenetics, microbiome, and metagenomics).\n\nProficiency working with and developing using Docker and/or Singularity container technology.\n\nProficiency using version Control software (e.g., Git or similar) to manage programming code.\n\nProficiency with Python, Perl, or another scripting language.\n\nProficiency with R, RMarkdown, and the \"tidyverse\" tools for data analysis.\n\nPreferred: Experience with NextFlow, SnakeMake, or similar workflow/pipeline management systems.\n\nPreferred: Familiarity with developing and querying relational databases.\n\nPreferred: Familiarity with AWS and/or Azure cloud computing.\n\nEducation/Experience\n\nBA or BS in Computer Science, Bioinformatics, or related field\n\nExperience managing and analyzing large-scale datasets produced sequencing platforms and delivering solutions for managing, visualizing, analyzing, and interpreting genomic data\n\nExperience using Linux/Unix text processing tools, R, and other open-source tooling to manipulate and format data, to assess data quality, and analyze data.\n\nClearance\n\nThis position requires that the candidate be willing and able to complete a successful background screening for a security clearance. Candidates with a current security clearance will receive preference.\n\nSupervisory Responsibilities\n\nMay serve as a bioinformatics task lead.\n\nWorking Conditions/ Equipment\n\nAbility to work in varying conditions to include: traditional office environments with sedentary extended periods required for code development and testing.\n\n#J-18808-Ljbffr","datePosted":"2026-07-27T03:15:03.012Z","dateModified":"2026-07-27T03:15:03.012Z","hiringOrganization":{"@type":"Organization","name":"Socket","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Charlottesville","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d2196bddf3193b7a29e7b032"},"url":"https://jobsearcher.com/jobs/d2196bddf3193b7a29e7b032"}}