**Experienced Full Stack Data Scientist – Clinical Research and Evidence Generation**

At arenaflex, we're on a mission to revolutionize the way we approach healthcare and medical research. As a leading innovator in the industry, we're committed to harnessing the power of data science to drive meaningful insights and improve patient outcomes. We're now seeking an exceptional Full Stack Data Scientist to join our Clinical Research and Evidence Generation team, working remotely from the comfort of your own home. As a key member of our team, you'll have the opportunity to make a real impact on the lives of patients and healthcare professionals worldwide. **Job Summary:** We're looking for a highly skilled and motivated Data Scientist to join our team of experts in clinical research and evidence generation. As a Full Stack Data Scientist, you'll be responsible for designing and implementing cutting-edge data analysis and machine learning solutions to address complex business questions and drive strategic decision-making. You'll work closely with our cross-functional team to develop and deploy innovative data-driven solutions, leveraging your expertise in data mining, statistical analysis, and data visualization. **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 different members of the arenaflex Clinical Trial colleagues to convey significant insights from genuine world, clinical, and other data sources to help biopharmaceutical RWE and clinical trial solicitations. * Clean, transform, and store data into a coordinated data lake for future analysis and broader team utilization. * Perform data mining and statistical analysis to analyze RWE/RWD to find new insights regarding patient populations and treatment results. * Support the development of genuine data, analysis, and stage skills, applying advanced investigation and tools to resolve logical inquiries from biopharmaceutical organizations. * Work together on plan and execution of results research studies. * Ensure superior-grade, thorough, and promptly interpretable expectations from RWE review and examinations. * Assemble dashboards, analysis, and reports for internal and external utilization. * Conduct an expected level of effort on new true data suppliers merchants and drive RWD quality evaluations to illuminate project choices. **Essential Capabilities:** * 2 years of experience with R, Python, or SQL. * Experience in planning and executing powerful and reproducible statistical analyses regarding the study of disease transmission and observational research with healthcare data. * Knowledge of normal statistical testing strategies including generalized linear models, regression and separation, decision trees, solo learning, time series analysis, and survival analysis. * Experience handling large data from different 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. **Favored 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 examinations 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 planning, Bayesian modeling, sequential data, computational insights. * Understanding of insights and AI strategies, ability to continue self-learning of technical and non-technical skills. **What We Offer:** * Competitive salary of $27/hour. * Flexible remote work arrangement. * Opportunities for career growth and professional development. * Collaborative and dynamic work environment. * Access to cutting-edge technology and tools. * Comprehensive benefits package, including health, dental, and vision insurance. * Generous paid time off and holidays. * Recognition and rewards for outstanding performance. **How to Apply:** If you're a motivated and talented Data Scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for the role. We can't wait to hear from you! Apply Now! Apply for this job