{"schemaVersion":"jobsearcher.job.v1","id":"1e7d70b56351a0e58f2238f2","url":"https://jobsearcher.com/jobs/1e7d70b56351a0e58f2238f2","canonicalUrl":"https://jobsearcher.com/jobs/1e7d70b56351a0e58f2238f2","title":"Quantitative Data Scientist","description":"At Target RWE, our mission is driven by a deep commitment to people, whether it's the patients we serve, the partners we collaborate with, or the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to advance science.\nOverview\nIn this role, you will be a key contributor within Target RWE's Quantitative Sciences (QS) organization. You will help ensure that Target's data are reliable, well-understood, and ready for scientific and regulatory use. You will work with cross-functional teams to support high-quality analyses, contribute to data validation and curation processes, and help build scalable analytic workflows that enable efficient and reproducible real-world evidence (RWE) generation.\nWorking closely with partners across Product, Engineering, Clinical Operations, Medical Science, and Commercial teams, you will support the design and execution of analyses that demonstrate the value of Target's data, inform research questions, and contribute to scientific and client-facing deliverables.\nWhat You'll Do\n1. Data Quality and Stewardship\nHelp ensure Target's data are accurate, complete, and ready for analysis.\nContribute to data validation, quality checks, and \"fitness-for-use\" assessments.\nDevelop growing expertise in Target's data structure, provenance, strengths, and limitations.\nSupport the creation and upkeep of data documentation, dictionaries, and metadata.\nAssist in developing scalable processes that promote trust, transparency, and reproducibility.\n2. Analytical Excellence\nSupport rigorous, reproducible real-world evidence generation.\nAssist in the design and execution of retrospective and prospective analyses using Target RWE datasets.\nWrite analytic code for descriptive, comparative, and predictive analyses under the guidance of senior scientists.\nContribute to scalable and reusable analytic workflows and code structures.\nApply best practices in coding, version control, methodology selection, and documentation.\nHelp transform analytic findings into clear visualizations, summaries, and insights.\nSupport the development of publications, abstracts, and scientific presentations.\n3. Cross-Functional Collaboration\nWork closely with internal teams to translate data into scientific and strategic value.\nCollaborate with Product, Engineering, Medical Science, Clinical Operations, and Commercial teams to align on data strategy and analytic priorities.\nParticipate in internal discussions and occasional client meetings to support data interpretation and analytic understanding.\nShare insights about Target's data assets to help inform decision-making, product development, and customer-facing materials.\nWhat You'll Bring\nMaster's degree in biostatistics, epidemiology, health economics, bioinformatics, data science, or a related quantitative field (or equivalent experience).\n3–5 years of experience working with real-world data (e.g., EMR, claims, registry, or clinical trial data).\nStrong programming skills in R and familiarity with reproducible analytic workflows.\nExperience with data cleaning, validation, quality checks, or curation processes.\nDemonstrated ability to write clear, maintainable, well-documented code.\nStrong analytical, problem-solving, and conceptual thinking skills.\nExcellent communication and collaboration skills with technical and scientific partners.\nAbility to translate analytic outputs into clear, actionable insights.\nWhat we offer you\nHybrid + remote work environment\nComprehensive health, dental, and vision for you and your family\n401(k) with company match\nGenerous PTO and company holidays\nPaid parental leave\nHybrid role: Located in Research Triangle Park, North Carolina","company":"Targetrwe","rawCompany":"targetrwe","city":"Durham","state":"NC","isRemote":false,"isActive":false,"createdAt":"2026-04-14T10:31:26.613Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"},{"code":"15-2099.00","title":"Mathematical Science Occupations, All Other","slug":"mathematical-science-occupations-all-other"}],"industries":[{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"},{"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"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Quantitative Data Scientist","description":"At Target RWE, our mission is driven by a deep commitment to people, whether it's the patients we serve, the partners we collaborate with, or the dedicated team members who power our work. As a purpose-driven organization, we leverage real-world data to advance clinical research and inform better healthcare decisions. We foster a collaborative environment where every voice is heard, every idea has an impact, and every contribution helps improve lives. If you're seeking a place where your work truly matters, join us to advance science.\nOverview\nIn this role, you will be a key contributor within Target RWE's Quantitative Sciences (QS) organization. You will help ensure that Target's data are reliable, well-understood, and ready for scientific and regulatory use. You will work with cross-functional teams to support high-quality analyses, contribute to data validation and curation processes, and help build scalable analytic workflows that enable efficient and reproducible real-world evidence (RWE) generation.\nWorking closely with partners across Product, Engineering, Clinical Operations, Medical Science, and Commercial teams, you will support the design and execution of analyses that demonstrate the value of Target's data, inform research questions, and contribute to scientific and client-facing deliverables.\nWhat You'll Do\n1. Data Quality and Stewardship\nHelp ensure Target's data are accurate, complete, and ready for analysis.\nContribute to data validation, quality checks, and \"fitness-for-use\" assessments.\nDevelop growing expertise in Target's data structure, provenance, strengths, and limitations.\nSupport the creation and upkeep of data documentation, dictionaries, and metadata.\nAssist in developing scalable processes that promote trust, transparency, and reproducibility.\n2. Analytical Excellence\nSupport rigorous, reproducible real-world evidence generation.\nAssist in the design and execution of retrospective and prospective analyses using Target RWE datasets.\nWrite analytic code for descriptive, comparative, and predictive analyses under the guidance of senior scientists.\nContribute to scalable and reusable analytic workflows and code structures.\nApply best practices in coding, version control, methodology selection, and documentation.\nHelp transform analytic findings into clear visualizations, summaries, and insights.\nSupport the development of publications, abstracts, and scientific presentations.\n3. Cross-Functional Collaboration\nWork closely with internal teams to translate data into scientific and strategic value.\nCollaborate with Product, Engineering, Medical Science, Clinical Operations, and Commercial teams to align on data strategy and analytic priorities.\nParticipate in internal discussions and occasional client meetings to support data interpretation and analytic understanding.\nShare insights about Target's data assets to help inform decision-making, product development, and customer-facing materials.\nWhat You'll Bring\nMaster's degree in biostatistics, epidemiology, health economics, bioinformatics, data science, or a related quantitative field (or equivalent experience).\n3–5 years of experience working with real-world data (e.g., EMR, claims, registry, or clinical trial data).\nStrong programming skills in R and familiarity with reproducible analytic workflows.\nExperience with data cleaning, validation, quality checks, or curation processes.\nDemonstrated ability to write clear, maintainable, well-documented code.\nStrong analytical, problem-solving, and conceptual thinking skills.\nExcellent communication and collaboration skills with technical and scientific partners.\nAbility to translate analytic outputs into clear, actionable insights.\nWhat we offer you\nHybrid + remote work environment\nComprehensive health, dental, and vision for you and your family\n401(k) with company match\nGenerous PTO and company holidays\nPaid parental leave\nHybrid role: Located in Research Triangle Park, North Carolina","datePosted":"2026-04-14T10:31:26.613Z","dateModified":"2026-04-14T10:31:26.613Z","hiringOrganization":{"@type":"Organization","name":"Targetrwe","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Durham","addressRegion":"NC","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"1e7d70b56351a0e58f2238f2"},"url":"https://jobsearcher.com/jobs/1e7d70b56351a0e58f2238f2"}}