{"schemaVersion":"jobsearcher.job.v1","id":"b21d84a545f0ce38d7d77e08","url":"https://jobsearcher.com/jobs/b21d84a545f0ce38d7d77e08","canonicalUrl":"https://jobsearcher.com/jobs/b21d84a545f0ce38d7d77e08","title":"Senior HEOR Statistical Programmer - REMOTE","description":"We are hiring Senior HEOR Statistical Programmer - REMOTE.Please let me know if you are interested or anyone who might be interested.Client: Major Pharmaceutical ClientPosition: Senior HEOR Statistical Programmer - REMOTEDuration: 6+ Months ContractLocation: REMOTEPay Rate: $80.00-$85.00/ Hr on W2____________________________________________________________________________________________Description:NOTES• Degree in Health Economics, Biostatistics, Health Services Research, Public Health, Epidemiology, Pharmacy Administration, or a related discipline.• Experience in coding, developing analytical datasets, and conducting statistical analysis.• Minimum 7 years of SAS programming experience.• Minimum 4 years of hands-on experience with real-world studies using large claims/EMR databases in HEOR.• Strong SAS programming and data analysis skills.• Extensive experience with large healthcare databases such as US insurance claims databases, electronic medical records, and registry databases.• Experience in R/RShiny programming.ResponsibilitiesCore elements enabling success in the role will include:• Focusing across Women's Health, Established Brands, Biosimilars, and in-licensing opportunities.• In this role, you will be responsible for internal analysis across research programs, including designing and delivering internal research projects and insights.• The role is responsible for the delivery of internal data analysis of studies involving observational research for developmental products and commercialized products across the portfolio.• The data and insights will be communicated to internal stakeholders and used to support research projects that are reviewed for congress presentations and manuscript submissions.• Strong programming skills in SAS programming and data analysis.• Extensive work experience with large US insurance claims databases, electronic medical records, and registry databases for health outcomes research (e.g., Premier, IBM MarketScan, THIN European Database, Humedica, IMS Pharmetrics+, GE Health, Flatiron, OMNY, etc.).• Experience with OMNY database and Dermatology is a plus.• Experience working with medical and billing coding systems such as ICD-10, SNOMED, LOINC, NDC, HCPCS, and CPT.• Familiarity with cloud and high-performance computing environments (Azure, AWS).• Develop protocols and Statistical Analysis Plans (SAPs) based on study concepts and ensure the appropriateness of study design, sample size, and statistical methodologies proposed.• Develop and implement rigorous QC processes and programming templates to ensure quality of data and analyses.• Conduct statistical analyses to generate tables, listings, and figures for use in publications, presentations, and internal purposes.• Must be able to meet timelines with minimal supervision and possess excellent verbal and written communication skills.• Demonstrated ability to translate complex statistical information into meaningful insights.Qualifications• The role of Consultant, Outcomes Research Stats Analyst reports to the Sr. Director, Head of Statistical Programming and Outcomes Analytics.Education and Experience• Bachelor's, Master's, or post-graduate degree (e.g., PhD, DrPH, PharmD) in Health Economics, Biostatistics, Health Services Research, Public Health, Epidemiology, Pharmacy Administration, or other relevant discipline, with experience in coding and developing analytical datasets and conducting statistical analysis.• Minimum 7 years of experience in SAS programming and a minimum of 4 years of hands-on work experience with real-world studies using large claims/EMR databases in HEOR.• Experience in R/RShiny programming is a plus.RegardsVishnu Das Natesandvishnu@radiants.com","company":"Radiant Systems","rawCompany":"radiant systems","isRemote":true,"isActive":false,"createdAt":"2026-06-20T07:54:54.618Z","occupations":[{"code":"15-2041.01","title":"Biostatisticians","slug":"biostatisticians"},{"code":"15-2041.00","title":"Statisticians","slug":"statisticians"},{"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":"541611","title":"Administrative Management and General Management Consulting Services","slug":"administrative-management-and-general-management-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior HEOR Statistical Programmer - REMOTE","description":"We are hiring Senior HEOR Statistical Programmer - REMOTE.Please let me know if you are interested or anyone who might be interested.Client: Major Pharmaceutical ClientPosition: Senior HEOR Statistical Programmer - REMOTEDuration: 6+ Months ContractLocation: REMOTEPay Rate: $80.00-$85.00/ Hr on W2____________________________________________________________________________________________Description:NOTES• Degree in Health Economics, Biostatistics, Health Services Research, Public Health, Epidemiology, Pharmacy Administration, or a related discipline.• Experience in coding, developing analytical datasets, and conducting statistical analysis.• Minimum 7 years of SAS programming experience.• Minimum 4 years of hands-on experience with real-world studies using large claims/EMR databases in HEOR.• Strong SAS programming and data analysis skills.• Extensive experience with large healthcare databases such as US insurance claims databases, electronic medical records, and registry databases.• Experience in R/RShiny programming.ResponsibilitiesCore elements enabling success in the role will include:• Focusing across Women's Health, Established Brands, Biosimilars, and in-licensing opportunities.• In this role, you will be responsible for internal analysis across research programs, including designing and delivering internal research projects and insights.• The role is responsible for the delivery of internal data analysis of studies involving observational research for developmental products and commercialized products across the portfolio.• The data and insights will be communicated to internal stakeholders and used to support research projects that are reviewed for congress presentations and manuscript submissions.• Strong programming skills in SAS programming and data analysis.• Extensive work experience with large US insurance claims databases, electronic medical records, and registry databases for health outcomes research (e.g., Premier, IBM MarketScan, THIN European Database, Humedica, IMS Pharmetrics+, GE Health, Flatiron, OMNY, etc.).• Experience with OMNY database and Dermatology is a plus.• Experience working with medical and billing coding systems such as ICD-10, SNOMED, LOINC, NDC, HCPCS, and CPT.• Familiarity with cloud and high-performance computing environments (Azure, AWS).• Develop protocols and Statistical Analysis Plans (SAPs) based on study concepts and ensure the appropriateness of study design, sample size, and statistical methodologies proposed.• Develop and implement rigorous QC processes and programming templates to ensure quality of data and analyses.• Conduct statistical analyses to generate tables, listings, and figures for use in publications, presentations, and internal purposes.• Must be able to meet timelines with minimal supervision and possess excellent verbal and written communication skills.• Demonstrated ability to translate complex statistical information into meaningful insights.Qualifications• The role of Consultant, Outcomes Research Stats Analyst reports to the Sr. Director, Head of Statistical Programming and Outcomes Analytics.Education and Experience• Bachelor's, Master's, or post-graduate degree (e.g., PhD, DrPH, PharmD) in Health Economics, Biostatistics, Health Services Research, Public Health, Epidemiology, Pharmacy Administration, or other relevant discipline, with experience in coding and developing analytical datasets and conducting statistical analysis.• Minimum 7 years of experience in SAS programming and a minimum of 4 years of hands-on work experience with real-world studies using large claims/EMR databases in HEOR.• Experience in R/RShiny programming is a plus.RegardsVishnu Das Natesandvishnu@radiants.com","datePosted":"2026-06-20T07:54:54.618Z","dateModified":"2026-06-20T07:54:54.618Z","hiringOrganization":{"@type":"Organization","name":"Radiant Systems","sameAs":"https://jobsearcher.com"},"jobLocationType":"TELECOMMUTE","applicantLocationRequirements":{"@type":"Country","name":"US"},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"b21d84a545f0ce38d7d77e08"},"url":"https://jobsearcher.com/jobs/b21d84a545f0ce38d7d77e08"}}