{"schemaVersion":"jobsearcher.job.v1","id":"d6ee50e67a839fba3e3f01d7","url":"https://jobsearcher.com/jobs/d6ee50e67a839fba3e3f01d7","canonicalUrl":"https://jobsearcher.com/jobs/d6ee50e67a839fba3e3f01d7","title":"Clinical Data Manager","description":"Position Summary\nThe Clinical Data Manager (CDM) is responsible for the end-to-end management, quality control, and analysis of clinical cohort data. This role ensures data integrity, identifies and resolves irregularities, and partners closely with laboratory operations and bioinformatics engineering to enable high-quality and timely data delivery. The CDM will play a critical role in supporting clinical data pipelines, investigating anomalies, and driving MRD-focused analyses, pipeline improvements, and research initiatives.\nClinical Data Management & QC\nManage and track clinical cohorts, ensuring accurate sample metadata and traceability\nPerform QC review, validation checks, and deviation logging across datasets\nIdentify and investigate irregularities (e.g., contamination, sample swaps, unexpected results)\nEnsure reproducibility, traceability, and audit readiness of clinical datasets\nData Investigation & Pipeline Interaction\nInvestigate abnormalities using statistical and bioinformatics approaches\nRun and monitor pipelines for data reprocessing and corrections\nInterface with bioinformatics pipelines via command line and scripting\nTroubleshoot data issues end-to-end from raw data through final outputs\nCross-Functional Collaboration\nAct as liaison between Lab Operations and Bioinformatics Engineering\nEnsure rapid resolution of data issues and timely delivery\nCommunicate findings clearly and escalate issues when necessary\nData Systems & Reporting\nInteract with internal databases and correct inconsistencies\nDevelop dashboards to monitor cohort progress, QC metrics, and delivery timelines\nGenerate reports summarizing data quality, deviations, and investigations\nAdvanced Analysis & Research Support\nPerform in-depth analysis on unblinded clinical datasets\nIdentify biological signals, artifacts, and noise sources (especially in MRD contexts)\nDrive improvements to pipelines and QC heuristics based on data insights\nSupport development of new assays and analytical approaches\nContribute to publications, internal reports, and regulatory documentation\nRegulatory & External Collaboration\nSupport documentation for regulatory submissions and audit readiness\nPrepare clinical datasets for collaborators\nManage data transfer, submission, and tracking across studies\n\nRequirements\n\nRequired Qualifications & Skills\nPhD in Bioinformatics, Computational Biology, Statistics, or related field\n3–7+ years of experience in clinical data management or clinical genomics\nStrong experience with NGS data, including MRD (minimal residual disease) analysis\nProficiency in Python (pandas or similar for data analysis)\nExperience with SQL or database systems\nFamiliarity with Linux/Unix and command-line tools\nStrong statistical and analytical skills\nAbility to work cross-functionally in a fast-paced environment\nPreferred\nExperience with tumor-normal and cfDNA workflows\nExperience building dashboards or tracking tools\nKnowledge of GCP and regulatory processes\nExperience supporting submissions and publications","company":"Accuscan Sciences","rawCompany":"accuscan sciences","city":"Milpitas","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-07-10T00:30:25.583Z","occupations":[{"code":"15-2051.02","title":"Clinical Data Managers","slug":"clinical-data-managers"},{"code":"15-1211.01","title":"Health Informatics Specialists","slug":"health-informatics-specialists"},{"code":"11-9111.00","title":"Medical and Health Services Managers","slug":"medical-and-health-services-managers"}],"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":"621511","title":"Medical Laboratories","slug":"medical-laboratories"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Clinical Data Manager","description":"Position Summary\nThe Clinical Data Manager (CDM) is responsible for the end-to-end management, quality control, and analysis of clinical cohort data. This role ensures data integrity, identifies and resolves irregularities, and partners closely with laboratory operations and bioinformatics engineering to enable high-quality and timely data delivery. The CDM will play a critical role in supporting clinical data pipelines, investigating anomalies, and driving MRD-focused analyses, pipeline improvements, and research initiatives.\nClinical Data Management & QC\nManage and track clinical cohorts, ensuring accurate sample metadata and traceability\nPerform QC review, validation checks, and deviation logging across datasets\nIdentify and investigate irregularities (e.g., contamination, sample swaps, unexpected results)\nEnsure reproducibility, traceability, and audit readiness of clinical datasets\nData Investigation & Pipeline Interaction\nInvestigate abnormalities using statistical and bioinformatics approaches\nRun and monitor pipelines for data reprocessing and corrections\nInterface with bioinformatics pipelines via command line and scripting\nTroubleshoot data issues end-to-end from raw data through final outputs\nCross-Functional Collaboration\nAct as liaison between Lab Operations and Bioinformatics Engineering\nEnsure rapid resolution of data issues and timely delivery\nCommunicate findings clearly and escalate issues when necessary\nData Systems & Reporting\nInteract with internal databases and correct inconsistencies\nDevelop dashboards to monitor cohort progress, QC metrics, and delivery timelines\nGenerate reports summarizing data quality, deviations, and investigations\nAdvanced Analysis & Research Support\nPerform in-depth analysis on unblinded clinical datasets\nIdentify biological signals, artifacts, and noise sources (especially in MRD contexts)\nDrive improvements to pipelines and QC heuristics based on data insights\nSupport development of new assays and analytical approaches\nContribute to publications, internal reports, and regulatory documentation\nRegulatory & External Collaboration\nSupport documentation for regulatory submissions and audit readiness\nPrepare clinical datasets for collaborators\nManage data transfer, submission, and tracking across studies\n\nRequirements\n\nRequired Qualifications & Skills\nPhD in Bioinformatics, Computational Biology, Statistics, or related field\n3–7+ years of experience in clinical data management or clinical genomics\nStrong experience with NGS data, including MRD (minimal residual disease) analysis\nProficiency in Python (pandas or similar for data analysis)\nExperience with SQL or database systems\nFamiliarity with Linux/Unix and command-line tools\nStrong statistical and analytical skills\nAbility to work cross-functionally in a fast-paced environment\nPreferred\nExperience with tumor-normal and cfDNA workflows\nExperience building dashboards or tracking tools\nKnowledge of GCP and regulatory processes\nExperience supporting submissions and publications","datePosted":"2026-07-10T00:30:25.583Z","dateModified":"2026-07-10T00:30:25.583Z","hiringOrganization":{"@type":"Organization","name":"Accuscan Sciences","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Milpitas","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d6ee50e67a839fba3e3f01d7"},"url":"https://jobsearcher.com/jobs/d6ee50e67a839fba3e3f01d7"}}