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

At arenaflex, we're on a mission to revolutionize the way we approach healthcare and clinical trials. As a leading innovator in the industry, we're seeking an experienced Full Stack Data Scientist to join our team and help us unlock the power of Real-World Evidence (RWE). If you're passionate about using data science to drive business decisions and improve patient outcomes, we want to hear from you.

• *About arenaflex**

arenaflex is a pioneering company that's changing the face of healthcare and clinical trials. With a strong focus on innovation and collaboration, we're committed to delivering cutting-edge solutions that make a real difference in people's lives. Our team is made up of talented individuals from diverse backgrounds, all united by a shared passion for using data science to drive positive change.

• *Job Summary**

As a Full Stack Data Scientist at arenaflex, you'll play a critical role in our Clinical Trials team. You'll be responsible for creating high-quality, actionable insights from complex data sets, using advanced statistical and machine learning techniques. Your work will have a direct impact on our business decisions and patient outcomes, making you a key contributor to our success.

• *Key Responsibilities**

• Mine crude data sets to extract normalized, analysis-ready patient data from in-house resources or authorized platforms, analyze and interpret results, and inform investigation procedures.
• Collaborate with cross-functional teams to distill meaningful insights from real-world, clinical, and other data sources, supporting biopharmaceutical RWE and clinical trial initiatives.
• Clean, transform, and store data into a unified data lake for future analysis and broader team utilization.
• Perform data mining and statistical analysis to extract new insights from RWE/RWD regarding patient populations and treatment outcomes.
• Develop and apply advanced statistical and machine learning techniques to resolve complex research questions from biopharmaceutical organizations.
• Work closely with stakeholders to design and execute results research studies.
• Ensure high-quality, thorough, and interpretable findings from RWE reviews and analyses.
• Develop dashboards, analysis, and reports for internal and external use.
• Conduct a significant portion 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 in the context of epidemiology 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 datasets from various sources.
• Experience managing protected patient health data.
• Familiarity with at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI visualization tools.

• *Preferred Capabilities**

• Mastery in EMR/Health IT, disease libraries, and claims data sets.
• Aptitude in clinical data principles, clinical terminology, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode).
• Experience in Good Clinical Practice (GCP) and regulatory compliance rules for RWE 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 solutions.
• Experience with trial design, Bayesian modeling, sequential data, computational statistics.
• Understanding of machine learning and AI strategies, ability to continue self-learning of technical and non-technical skills.

• *What We Offer**

• Competitive salary: $27/hour
• Flexible, remote work arrangement
• Opportunities for career growth and professional development
• Collaborative, dynamic work environment
• Comprehensive benefits package
• Access to cutting-edge technology and tools
• 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. We can't wait to hear from you!