{"schemaVersion":"jobsearcher.job.v1","id":"5fc942e0b1cfcdab27324652","url":"https://jobsearcher.com/jobs/5fc942e0b1cfcdab27324652","canonicalUrl":"https://jobsearcher.com/jobs/5fc942e0b1cfcdab27324652","title":"Senior Programmer","description":"– Long-term, remote, FSP support role:\nThe senior programmer position will be responsible for manipulating large databases and generating reports to enable analysts to explore real world healthcare data assets. Candidates must have excellent SAS and SQL programming skills and the ability to implement complex logic. Candidates must be comfortable with creating complex analysis data sets derived from various data sources with a careful eye for outliers and errors. Prior experience building patient cohorts and evaluating patient healthcare events in large databases and using observational research methods such as epidemiology and statistical methods is strongly desired.\nStrong communication, time management, enthusiasm and documentation skills are essential in this home-based position.\nBasic Qualifications\n\nBachelor’s degree in Computer Science, Statistics, Mathematics, or other subject with high statistical content\nMinimum four years SAS statistical programming experience\nDatabase programming using SQL\nExperience with advanced statistical methods such as survival and regression\nExperience with real world healthcare claims and EHR data such as MarketScan, Optum and Medicare databases\nPreferred Qualifications\n\nMaster’s degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content\nTraining or experience using the OMOP common data model\nExperience working with CDISC standards.\nTraining or experience with Python, R, Databricks or other cloud-based software\nPharmaceutical industry experience\nTraining or experience in epidemiological methods","company":"Simulstat","rawCompany":"simulstat","city":"Remote","state":"OR","isRemote":false,"isActive":false,"createdAt":"2026-08-03T14:50:28.664Z","occupations":[{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"622110","title":"General Medical and Surgical Hospitals","slug":"general-medical-and-surgical-hospitals"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Programmer","description":"– Long-term, remote, FSP support role:\nThe senior programmer position will be responsible for manipulating large databases and generating reports to enable analysts to explore real world healthcare data assets. Candidates must have excellent SAS and SQL programming skills and the ability to implement complex logic. Candidates must be comfortable with creating complex analysis data sets derived from various data sources with a careful eye for outliers and errors. Prior experience building patient cohorts and evaluating patient healthcare events in large databases and using observational research methods such as epidemiology and statistical methods is strongly desired.\nStrong communication, time management, enthusiasm and documentation skills are essential in this home-based position.\nBasic Qualifications\n\nBachelor’s degree in Computer Science, Statistics, Mathematics, or other subject with high statistical content\nMinimum four years SAS statistical programming experience\nDatabase programming using SQL\nExperience with advanced statistical methods such as survival and regression\nExperience with real world healthcare claims and EHR data such as MarketScan, Optum and Medicare databases\nPreferred Qualifications\n\nMaster’s degree in Epidemiology, Biostatistics, Computer Science, or other subject with high statistical content\nTraining or experience using the OMOP common data model\nExperience working with CDISC standards.\nTraining or experience with Python, R, Databricks or other cloud-based software\nPharmaceutical industry experience\nTraining or experience in epidemiological methods","datePosted":"2026-08-03T14:50:28.664Z","dateModified":"2026-08-03T14:50:28.664Z","hiringOrganization":{"@type":"Organization","name":"Simulstat","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote","addressRegion":"OR","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"5fc942e0b1cfcdab27324652"},"url":"https://jobsearcher.com/jobs/5fc942e0b1cfcdab27324652"}}