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1 job found for trabajo en amityville de fin de semana se necesita de immediato

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    • philadelphia, pennsylvania (remote)
    • contract
    • $60 - $80 per hour
    job summary: The Data Analyst will work as a full-time contingent worker for the Big-Data / Real World Evidence (RWE) Research Team within Global Value and HEOR Department. This person will be trained to use a data lake and an analytical platform. She/he will be responsible for exploring healthcare claim data and EMR data and conducting a variety of analyses to generate RWE related to company medical products.   location: Philadelphia, Pennsylvania job type: Contract salary: $60 - 80 per hour work hours: 9 to 5 education: Masters   responsibilities: Work with cross-function teams to develop and assist in the development of studyprotocols for Health Economics and Outcomes Research (HEOR), clinicaldevelopment, and regulatory interactionsEvaluate and apply advanced analytics and statistical models in analyses of RWD.Perform a variety of analyses defined by applicable protocols and transform real-worlddata (RWD) into actionable RWE of medical productsExplore and analyze different RWD data, including medical claims data, electronicmedical records, de-identified patient-level data, and prescription data etc.Visualize data to effectively present data insight and business intelligenceDeliver results to stakeholders across functions to support decision-making.  qualifications: Advanced degree in Health Economics, Pharmaceutical Economics, Public Health or related discipline.Recent post-graduates (MS, or PhD) or Ph.D. candidates just about to graduateEligible to work in the U.S.Well-trained in RWD, data analytics and data scienceGood understanding of RWE research, Health Economics and Outcomes ResearchExperience in, or knowledge of developing econometric and statistical models such asbudget impact and cost effectiveness models, regression models, mixed models, survivalanalysis, propensity score matching, and non-parametric models is requiredWorking knowledge of administrative healthcare claims data, EMR data and other real-world Big DataStrong programming skills with SAS, SQL or/and PythonFamiliar with or interested in learning analytical platformsWorking knowledge of data visualization tools and techniques (matplotlib, seaborn, SAS graph, etc.)Hands-on experience in, or knowledge of analyzing RWD to support regulatory-gradeRWE studies is preferredPassionate about data science of generating RWE from RWD for helping patientsExperience in machine learning or/and deep learning are a plusKeen attention to details and ability to meet deadlines are requiredAbility to prioritize, organize, and work on multiple tasks simultaneously are requiredProficiency in Microsoft Offices like Word, Excel, PowerPointStrong communication skills are required  skills: Data Analysis, Health Economics Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.
    job summary: The Data Analyst will work as a full-time contingent worker for the Big-Data / Real World Evidence (RWE) Research Team within Global Value and HEOR Department. This person will be trained to use a data lake and an analytical platform. She/he will be responsible for exploring healthcare claim data and EMR data and conducting a variety of analyses to generate RWE related to company medical products.   location: Philadelphia, Pennsylvania job type: Contract salary: $60 - 80 per hour work hours: 9 to 5 education: Masters   responsibilities: Work with cross-function teams to develop and assist in the development of studyprotocols for Health Economics and Outcomes Research (HEOR), clinicaldevelopment, and regulatory interactionsEvaluate and apply advanced analytics and statistical models in analyses of RWD.Perform a variety of analyses defined by applicable protocols and transform real-worlddata (RWD) into actionable RWE of medical productsExplore and analyze different RWD data, including medical claims data, electronicmedical records, de-identified patient-level data, and prescription data etc.Visualize data to effectively present data insight and business intelligenceDeliver results to stakeholders across functions to support decision-making.  qualifications: Advanced degree in Health Economics, Pharmaceutical Economics, Public Health or related discipline.Recent post-graduates (MS, or PhD) or Ph.D. candidates just about to graduateEligible to work in the U.S.Well-trained in RWD, data analytics and data scienceGood understanding of RWE research, Health Economics and Outcomes ResearchExperience in, or knowledge of developing econometric and statistical models such asbudget impact and cost effectiveness models, regression models, mixed models, survivalanalysis, propensity score matching, and non-parametric models is requiredWorking knowledge of administrative healthcare claims data, EMR data and other real-world Big DataStrong programming skills with SAS, SQL or/and PythonFamiliar with or interested in learning analytical platformsWorking knowledge of data visualization tools and techniques (matplotlib, seaborn, SAS graph, etc.)Hands-on experience in, or knowledge of analyzing RWD to support regulatory-gradeRWE studies is preferredPassionate about data science of generating RWE from RWD for helping patientsExperience in machine learning or/and deep learning are a plusKeen attention to details and ability to meet deadlines are requiredAbility to prioritize, organize, and work on multiple tasks simultaneously are requiredProficiency in Microsoft Offices like Word, Excel, PowerPointStrong communication skills are required  skills: Data Analysis, Health Economics Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.At Randstad, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. For certain assignments, Covid-19 vaccination and/or testing may be required by Randstad's client or applicable federal mandate, subject to approved medical or religious accommodations. Carefully review the job posting for details on vaccine/testing requirements or ask your Randstad representative for more information.

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