{"schemaVersion":"jobsearcher.job.v1","id":"9abc703c44a2fbabdb7e3a2d","url":"https://jobsearcher.com/jobs/9abc703c44a2fbabdb7e3a2d","canonicalUrl":"https://jobsearcher.com/jobs/9abc703c44a2fbabdb7e3a2d","title":"Bioinformatics specialist","description":"Use your skills to cure cancer.\nAbout us\nData Driven Bioscience is revolutionizing the approach to cancer diagnosis by connecting a novel DNA & RNA sequencing assay with intelligent software.\n\nWe are looking for a highly motivated individual to help with both the development of a clinical diagnostic and to support researchers involved in one of the largest genomic projects in the world. This individual will work with a team of exceptionally competent scientists and engineers. We are a small company and are looking for someone who is adaptable and can succeed in many different roles.\n\nWe pay a VERY competitive salary and offer stock ownership of one of the hottest startups anywhere. This position can be remote or local.\n\nAbout you\nThis is a position for someone who wants to apply their skills to directly help cancer patients. You will develop new applications that connect cancer tests with large databases and machine learning to improve cancer diagnosis and treatment. You will continue to grow and learn cutting edge skills around machine learning, high performance computing and databases.\n\nResponsibilities\n\nAnalysis of large-scale NGS data sets\n\nProvide bioinformatics support to researchers involved in genomic projects\n\nTroubleshoot and maintain bioinformatics pipelines\n\nQualifications\n\nPhD degree with 2+ years (or MS degree with 5+ years) of working experience in bioinformatics\n\nSolid computational skills and a deep understanding of NGS data and its analysis\n\nFamiliarity with git version-control workflows\n\nExtensive experience in NGS, systems biology and analysis of large-scale genomics datasets\n\nExtensive experience with scientific computing, R or Python preferred\n\nExperience with computational analysis, algorithm development, statistics, and machine learning\n\nStrong UNIX/LINUX expertise required\n\nExperience with NGS datasets and pipelines including pipeline testing, troubleshooting and optimization\n\nExperience with cloud computing: AWS, Google Cloud\n\nJob Type\nFull-time . Part-time and contract positions are also available.\n\n#J-18808-Ljbffr","company":"Data Driven Bioscience","rawCompany":"data driven bioscience","city":"Durham","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-07-16T04:03:15.367Z","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":"541715","title":"Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)","slug":"research-and-development-in-the-physical-engineering-and-life-sciences-except-nanotechnology-and-biotechnology"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Bioinformatics specialist","description":"Use your skills to cure cancer.\nAbout us\nData Driven Bioscience is revolutionizing the approach to cancer diagnosis by connecting a novel DNA & RNA sequencing assay with intelligent software.\n\nWe are looking for a highly motivated individual to help with both the development of a clinical diagnostic and to support researchers involved in one of the largest genomic projects in the world. This individual will work with a team of exceptionally competent scientists and engineers. We are a small company and are looking for someone who is adaptable and can succeed in many different roles.\n\nWe pay a VERY competitive salary and offer stock ownership of one of the hottest startups anywhere. This position can be remote or local.\n\nAbout you\nThis is a position for someone who wants to apply their skills to directly help cancer patients. You will develop new applications that connect cancer tests with large databases and machine learning to improve cancer diagnosis and treatment. You will continue to grow and learn cutting edge skills around machine learning, high performance computing and databases.\n\nResponsibilities\n\nAnalysis of large-scale NGS data sets\n\nProvide bioinformatics support to researchers involved in genomic projects\n\nTroubleshoot and maintain bioinformatics pipelines\n\nQualifications\n\nPhD degree with 2+ years (or MS degree with 5+ years) of working experience in bioinformatics\n\nSolid computational skills and a deep understanding of NGS data and its analysis\n\nFamiliarity with git version-control workflows\n\nExtensive experience in NGS, systems biology and analysis of large-scale genomics datasets\n\nExtensive experience with scientific computing, R or Python preferred\n\nExperience with computational analysis, algorithm development, statistics, and machine learning\n\nStrong UNIX/LINUX expertise required\n\nExperience with NGS datasets and pipelines including pipeline testing, troubleshooting and optimization\n\nExperience with cloud computing: AWS, Google Cloud\n\nJob Type\nFull-time . Part-time and contract positions are also available.\n\n#J-18808-Ljbffr","datePosted":"2026-07-16T04:03:15.367Z","dateModified":"2026-07-16T04:03:15.367Z","hiringOrganization":{"@type":"Organization","name":"Data Driven Bioscience","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Durham","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9abc703c44a2fbabdb7e3a2d"},"url":"https://jobsearcher.com/jobs/9abc703c44a2fbabdb7e3a2d"}}