Experienced Data Analyst and Virtual Assistant – Remote Job Opportunities in Healthcare Data Management and Analysis
Introduction to careerzynith
careerzynith is a leading organization in the healthcare industry, dedicated to improving patient outcomes and advancing medical research through innovative data analysis and technology. As a pioneer in the field, careerzynith is committed to fostering a culture of excellence, collaboration, and continuous learning. Our team of experts is passionate about harnessing the power of data to drive business decisions, inform clinical trials, and enhance the overall quality of healthcare services.
Job Overview
We are seeking a highly skilled and motivated Data Analyst and Virtual Assistant to join our team at careerzynith. As a key member of our Scientific Affairs group, you will play a critical role in creating Real-World Evidence (RWE) through cutting-edge research and innovative methodologies in the clinical trials space. Your expertise in data analysis, statistical modeling, and data visualization will help us address complex business questions, identify trends, and inform strategic decisions.
Key Responsibilities
• Mine raw data sets to deliver standardized, analysis-ready patient datasets from in-house data resources or licensed platforms, analyze and interpret results, and help shape research strategy
• Collaborate with cross-functional teams, including Clinical Trial colleagues, to deliver actionable insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests
• Clean, transform, and store data into a unified data lake for future analysis and broader team utilization
• Perform data mining and statistical analysis to analyze RWE/RWD and uncover new insights regarding patient populations and treatment outcomes
• Support the development of real-world data, analytics, and platform capabilities, applying advanced analytics and tools to resolve scientific questions from biopharmaceutical companies
• Collaborate on the design and execution of outcomes research studies
• Ensure high-quality, comprehensive, and readily interpretable predictions from RWE studies and analyses
• Develop dashboards, analytics, and reports for internal and external use
• Conduct a thorough review of new real-world data suppliers and vendors, driving RWD quality assessments to inform investment decisions
Essential Qualifications
To be successful in this role, you should have:
• Experience in designing and executing robust and reproducible statistical analyses related to epidemiology and observational research with healthcare data
• Knowledge of common statistical testing methods, including generalized linear models, classification and regression, decision trees, solo learning, time series analysis, and survival analysis
• Experience handling large data sets from diverse data sources
• Experience handling protected patient health information
• Knowledge of at least one of the following: Tableau, Power Bi, Alteryx, Spotfire, or other BI intelligence tools
Preferred Qualifications
Preferred candidates will have:
• A PhD or Master's degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related field
• Expertise in EMR/Health IT, disease libraries, and insurance claims databases
• Knowledge of clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode)
• Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR)
• Experience working with alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology platforms and/or applications
• Experience with experimental design, Bayesian modeling, sequentialogle, and computational statistics
• Understanding of statistical and machine learning techniques, with the ability to continue self-learning of technical and non-technical skills
Career Growth and Learning Opportunities
At careerzynith, we are committed to supporting the growth and development of our employees. As a Data Analyst and Virtual Assistant, you will have access to:
• Ongoing training and professional development opportunities to enhance your skills and knowledge in data analysis, statistical modeling, and data visualization
• Mentorship and guidance from experienced professionals in the field
• Opportunities to work on diverse projects and collaborate with cross-functional teams
• A culture that encourages innovation, creativity, and experimentation
Work Environment and Company Culture
careerzynith offers a dynamic and supportive work environment that values co
careerzynith is a leading organization in the healthcare industry, dedicated to improving patient outcomes and advancing medical research through innovative data analysis and technology. As a pioneer in the field, careerzynith is committed to fostering a culture of excellence, collaboration, and continuous learning. Our team of experts is passionate about harnessing the power of data to drive business decisions, inform clinical trials, and enhance the overall quality of healthcare services.
Job Overview
We are seeking a highly skilled and motivated Data Analyst and Virtual Assistant to join our team at careerzynith. As a key member of our Scientific Affairs group, you will play a critical role in creating Real-World Evidence (RWE) through cutting-edge research and innovative methodologies in the clinical trials space. Your expertise in data analysis, statistical modeling, and data visualization will help us address complex business questions, identify trends, and inform strategic decisions.
Key Responsibilities
• Mine raw data sets to deliver standardized, analysis-ready patient datasets from in-house data resources or licensed platforms, analyze and interpret results, and help shape research strategy
• Collaborate with cross-functional teams, including Clinical Trial colleagues, to deliver actionable insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests
• Clean, transform, and store data into a unified data lake for future analysis and broader team utilization
• Perform data mining and statistical analysis to analyze RWE/RWD and uncover new insights regarding patient populations and treatment outcomes
• Support the development of real-world data, analytics, and platform capabilities, applying advanced analytics and tools to resolve scientific questions from biopharmaceutical companies
• Collaborate on the design and execution of outcomes research studies
• Ensure high-quality, comprehensive, and readily interpretable predictions from RWE studies and analyses
• Develop dashboards, analytics, and reports for internal and external use
• Conduct a thorough review of new real-world data suppliers and vendors, driving RWD quality assessments to inform investment decisions
Essential Qualifications
To be successful in this role, you should have:
• Experience in designing and executing robust and reproducible statistical analyses related to epidemiology and observational research with healthcare data
• Knowledge of common statistical testing methods, including generalized linear models, classification and regression, decision trees, solo learning, time series analysis, and survival analysis
• Experience handling large data sets from diverse data sources
• Experience handling protected patient health information
• Knowledge of at least one of the following: Tableau, Power Bi, Alteryx, Spotfire, or other BI intelligence tools
Preferred Qualifications
Preferred candidates will have:
• A PhD or Master's degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related field
• Expertise in EMR/Health IT, disease libraries, and insurance claims databases
• Knowledge of clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode)
• Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR)
• Experience working with alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology platforms and/or applications
• Experience with experimental design, Bayesian modeling, sequentialogle, and computational statistics
• Understanding of statistical and machine learning techniques, with the ability to continue self-learning of technical and non-technical skills
Career Growth and Learning Opportunities
At careerzynith, we are committed to supporting the growth and development of our employees. As a Data Analyst and Virtual Assistant, you will have access to:
• Ongoing training and professional development opportunities to enhance your skills and knowledge in data analysis, statistical modeling, and data visualization
• Mentorship and guidance from experienced professionals in the field
• Opportunities to work on diverse projects and collaborate with cross-functional teams
• A culture that encourages innovation, creativity, and experimentation
Work Environment and Company Culture
careerzynith offers a dynamic and supportive work environment that values co