{"schemaVersion":"jobsearcher.job.v1","id":"bf94eaf5e4e8c8bdf1bb6767","url":"https://jobsearcher.com/jobs/bf94eaf5e4e8c8bdf1bb6767","canonicalUrl":"https://jobsearcher.com/jobs/bf94eaf5e4e8c8bdf1bb6767","title":"Senior Statistician","description":"Job Description:The successful candidate will support the implementation, execution, and improvement of statistical techniques used throughout the organization, including hypothesis testing, confidence intervals, sample size determination, experimental design, process capability assessment, measurement system analysis, acceptance sampling, statistical process control, general statistical modeling, and related methods. This role may also contribute to the revision of policies, procedures, and training materials related to statistical practiceKey Responsibilities:Provide statistical support and guidance to production, engineering, quality, and technical teams in the evaluation of data, investigation of issues, and development of practical solutionsDesign, review, and execute statistical analyses to support product development, process validation, manufacturing improvements, quality investigations, and ongoing process monitoringServe as an independent statistical reviewer for protocols, reports, and other quality system documentation as requiredEnsure sampling plans and statistical methods are appropriate, justified, and fit for their intended usePractice experimental design – collaborate with engineering teams during R&D to address and solve complex design problems, aid in planning and structuring experimental designs, perform thorough data analysis and model building, and enact response surface methodology to establish optimal manufacturing process settings and product design characteristics.Apply and explain statistical techniques such as hypothesis testing, confidence intervals, sample size determination, process capability, MSA, acceptance sampling, SPC, distribution fitting, diagnostic modeling, bias detection, and statistical modelingDevelop, revise, and support training on statistical methods, procedures, and best practicesCommunicate statistical concepts clearly and effectively to engineers, quality professionals, production teams, and other non-statistical audiencesTranslate statistical findings into practical, actionable recommendations for technical and business stakeholdersDevelop and apply advanced or specialized statistical techniques as needed, while clearly documenting the rationale and statistical validity of the approachPresent and document complex technical subject matter in a clear, concise, and defensible mannerSupport internal, third-party, FDA, and Notified Body audit activities as neededHelp resolve technical disagreements by providing objective, data-driven statistical guidanceWork effectively and professionally with individuals and teams across multiple levels of a global organizationMaintain company quality and productivity standardsWork successfully in both collaborative and independent environments with minimal supervisionDesired Qualifications:M.S. in Statistics or related quantitative discipline preferred; Bachelor’s degree in statistics, mathematics, engineering, data science, or related scientific discipline may be considered with appropriate experience5-8 years of relevant experience required; medical device experience preferred, though pharmaceutical, automotive, or other regulated manufacturing experience may also be consideredDirect experience applying statistical techniques in product development, manufacturing, quality, validation, or process improvement environmentsStrong experience with Design of Experiments, statistical modeling, diagnostic modeling, distribution fitting, bias detection, sample size justification, and translation of statistical results for engineering and quality audiencesDemonstrated knowledge of medical device quality and regulatory expectations, including ISO 13485, 21 CFR requirements, and ISO 14971 risk management principlesWorking knowledge of statistical software required; Minitab experience preferredProficiency with Microsoft Office products, including Word, Excel, PowerPoint, and OutlookStrong written, verbal, and presentation communication skillsExcellent analytical, critical thinking, and problem-solving skillsStrong attention to detail and ability to produce clear, accurate, audit-ready documentationAbility to remain calm, objective, and receptive in fast-paced or technically challenging situations","company":"Intellectt","rawCompany":"intellectt","city":"Bloomington","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-06-18T09:30:12.229Z","occupations":[{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"},{"code":"15-2041.01","title":"Biostatisticians","slug":"biostatisticians"},{"code":"43-9111.00","title":"Statistical Assistants","slug":"statistical-assistants"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"code":"541910","title":"Marketing Research and Public Opinion Polling","slug":"marketing-research-and-public-opinion-polling"},{"code":"339112","title":"Surgical and Medical Instrument Manufacturing","slug":"surgical-and-medical-instrument-manufacturing"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Statistician","description":"Job Description:The successful candidate will support the implementation, execution, and improvement of statistical techniques used throughout the organization, including hypothesis testing, confidence intervals, sample size determination, experimental design, process capability assessment, measurement system analysis, acceptance sampling, statistical process control, general statistical modeling, and related methods. This role may also contribute to the revision of policies, procedures, and training materials related to statistical practiceKey Responsibilities:Provide statistical support and guidance to production, engineering, quality, and technical teams in the evaluation of data, investigation of issues, and development of practical solutionsDesign, review, and execute statistical analyses to support product development, process validation, manufacturing improvements, quality investigations, and ongoing process monitoringServe as an independent statistical reviewer for protocols, reports, and other quality system documentation as requiredEnsure sampling plans and statistical methods are appropriate, justified, and fit for their intended usePractice experimental design – collaborate with engineering teams during R&D to address and solve complex design problems, aid in planning and structuring experimental designs, perform thorough data analysis and model building, and enact response surface methodology to establish optimal manufacturing process settings and product design characteristics.Apply and explain statistical techniques such as hypothesis testing, confidence intervals, sample size determination, process capability, MSA, acceptance sampling, SPC, distribution fitting, diagnostic modeling, bias detection, and statistical modelingDevelop, revise, and support training on statistical methods, procedures, and best practicesCommunicate statistical concepts clearly and effectively to engineers, quality professionals, production teams, and other non-statistical audiencesTranslate statistical findings into practical, actionable recommendations for technical and business stakeholdersDevelop and apply advanced or specialized statistical techniques as needed, while clearly documenting the rationale and statistical validity of the approachPresent and document complex technical subject matter in a clear, concise, and defensible mannerSupport internal, third-party, FDA, and Notified Body audit activities as neededHelp resolve technical disagreements by providing objective, data-driven statistical guidanceWork effectively and professionally with individuals and teams across multiple levels of a global organizationMaintain company quality and productivity standardsWork successfully in both collaborative and independent environments with minimal supervisionDesired Qualifications:M.S. in Statistics or related quantitative discipline preferred; Bachelor’s degree in statistics, mathematics, engineering, data science, or related scientific discipline may be considered with appropriate experience5-8 years of relevant experience required; medical device experience preferred, though pharmaceutical, automotive, or other regulated manufacturing experience may also be consideredDirect experience applying statistical techniques in product development, manufacturing, quality, validation, or process improvement environmentsStrong experience with Design of Experiments, statistical modeling, diagnostic modeling, distribution fitting, bias detection, sample size justification, and translation of statistical results for engineering and quality audiencesDemonstrated knowledge of medical device quality and regulatory expectations, including ISO 13485, 21 CFR requirements, and ISO 14971 risk management principlesWorking knowledge of statistical software required; Minitab experience preferredProficiency with Microsoft Office products, including Word, Excel, PowerPoint, and OutlookStrong written, verbal, and presentation communication skillsExcellent analytical, critical thinking, and problem-solving skillsStrong attention to detail and ability to produce clear, accurate, audit-ready documentationAbility to remain calm, objective, and receptive in fast-paced or technically challenging situations","datePosted":"2026-06-18T09:30:12.229Z","dateModified":"2026-06-18T09:30:12.229Z","hiringOrganization":{"@type":"Organization","name":"Intellectt","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Bloomington","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"bf94eaf5e4e8c8bdf1bb6767"},"url":"https://jobsearcher.com/jobs/bf94eaf5e4e8c8bdf1bb6767"}}