Experienced Data Analyst and Virtual Assistant – Remote Job Opportunity for Statistical Analysis and Clinical Research Support at arenaflex

Introduction to arenaflex arenaflex is a leading organization in the private industry, committed to delivering exceptional services and solutions in the field of clinical research and data analysis. With a strong focus on innovation and customer satisfaction, arenaflex is seeking a highly skilled and motivated Data Analyst and Virtual Assistant to join its team. As a remote job opportunity, this role offers the flexibility to work from anywhere, providing an excellent work-life balance and the chance to be part of a dynamic and growing organization. Job Summary The successful candidate will be responsible for creating Real-World Evidence (RWE) through advanced analysis and innovative methodologies in the clinical trials space. As a key member of the Scientific Affairs team, the Data Analyst and Virtual Assistant will conduct modern data analysis to address critical business questions, working closely with cross-functional teams to deliver significant insights from real-world, clinical, and other data sources. This role reports to the Chief, Clinical Data Science, and offers a unique opportunity to impact internal and external decision-making through the use of creative data science and technology. 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 various members of the arenaflex Clinical Trials team to deliver meaningful 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 discover 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 implementation of outcomes research studies. Ensure high-quality, comprehensive, and readily interpretable predictions from RWE studies and analyses. Build dashboards, analytics, and reports for internal and external use. Conduct a thorough review of new real-world data suppliers, vendors, and drive RWD quality assessments to inform investment decisions. Essential Qualifications To be successful in this role, the candidate should possess: 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 from multiple 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 arrangements. Experience with experimental design, Bayesian modeling, sequential data, 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 Opportunities and Learning Benefits At arenaflex, we are committed to the growth and development of our employees. As a Data Analyst and Virtual Assistant, you will have access to: Ongoing training and development opportunities to enhance your skills and knowledge in data analysis, statistical modeling, and clinical research. A collaborative and dynamic work environment that encourages innovation, creativity, and teamwork. Opportunities to work on high-impact projects that contribute to the advancement of clinical research and healthcare outcomes. A competitive compensation package and benefits that recognize your contributions to the organization. Work Environment and Company Culture arenaflex is a private industry leader that values diversity, equity, and inclusion. Our company culture is built on the principles of: Respect and empathy for our employees, customers, and partners. A commitment to excellence and quality in everything we do. A collaborative and inclusive work environment that fosters creativity, innovation, and growth. A strong focus on customer satisfaction and delivering exceptional services and solutions. Compensation, Perks, and Benefits As a Data Analyst and Virtual Assistant at arenaflex, you can expect: A competitive hourly salary range of $20-30 per hour. A comprehensive benefits package that includes health, dental, and vision insurance, as well as retirement savings and paid time off. Opportunities for professional growth and development, including training, education, and career advancement. A flexible and remote work arrangement that provides an excellent work-life balance. Conclusion If you are a motivated and skilled Data Analyst and Virtual Assistant looking for a challenging and rewarding role, we encourage you to apply for this exciting opportunity at arenaflex. With a strong focus on innovation, customer satisfaction, and employee growth, we offer a unique and dynamic work environment that is committed to delivering exceptional services and solutions in the field of clinical research and data analysis. Apply now and join our team of talented professionals who are passionate about making a difference in the lives of others. Apply for this job