**Experienced Full Stack Data Scientist – Real-World Evidence (RWE) and Clinical Trials**

**Join arenaflex in a Part-Time Remote Opportunity with a Competitive Hourly Rate of $27** **About arenaflex** arenaflex is a leading healthcare company dedicated to revolutionizing the way we approach medical research and clinical trials. With a strong commitment to innovation and excellence, we strive to make a meaningful impact on the lives of patients and healthcare professionals worldwide. Our team of experts is passionate about harnessing the power of data science to drive insights and inform decision-making in the healthcare industry. **Job Summary** We are seeking an experienced Full Stack Data Scientist to join our Clinical Trials team in a part-time remote capacity. As a key member of our team, you will be responsible for creating high-quality Real-World Evidence (RWE) through cutting-edge research and innovative methodologies in the clinical trials space. You will work closely with our team to design and execute data-driven solutions that address critical business questions and drive business growth. **Key Responsibilities** * Mine crude data collections to convey normalized, analysis-ready patient partners from in-house data resources or authorized stages, analyze and interpret results, and help shape investigation procedure. * Collaborate with other members of the arenaflex Clinical Trials team to convey significant 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 to discover new insights regarding patient populations and treatment results. * Support the development of real-world evidence, analysis, and stage capabilities, applying advanced investigation and tools to resolve logical inquiries from biopharmaceutical organizations. * Work together on the design and execution of results research studies. * Ensure high-quality, thorough, and interpretable expectations from RWE review and examinations. * Assemble dashboards, analysis, and reports for internal and external use. * Conduct an expected level of effort on new true data suppliers merchants and drive RWD quality evaluations to inform project decisions. **Essential Capabilities** * 2 years of experience with R, Python, or SQL. * Experience in designing and executing effective and reproducible statistical analyses regarding the study of disease transmission and observational research with healthcare data. * Knowledge of standard statistical testing methods including generalized linear models, regression and classification, decision trees, machine learning, time series analysis, and survival analysis. * Experience handling large data from various data sources. * Experience managing protected patient health data. * Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI insight tools. **Preferred Capabilities** * Mastery in EMR/Health IT, disease libraries, and claims data sets. * Aptitude in clinical data principles, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode). * Experience in Good Clinical Practice (GCP) and regulatory compliance rules for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR). * Experience managing alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology stages and solutions. * Experience with trial design, Bayesian modeling, sequential data, computational statistics. * Understanding of analytics and AI strategies, ability to continue self-learning of technical and non-technical skills. **What We Offer** * Competitive hourly rate of $27 * Part-time remote opportunity with flexible scheduling * Opportunity to work with a leading healthcare company * Collaborative and dynamic work environment * Professional development and growth opportunities * Comprehensive benefits package, including health, dental, and vision insurance * Generous paid time off and holidays * Access to cutting-edge technology and tools * Recognition and rewards for outstanding performance **How to Apply** If you are a motivated and experienced data scientist looking for a new challenge, please submit your application through our website. We look forward to hearing from you! Apply Now! Apply for this job