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

At arenaflex, we are on a mission to revolutionize the way we approach healthcare and clinical trials. As a leading innovator in the industry, we are seeking an experienced Full Stack Data Scientist to join our team and contribute to the development of cutting-edge solutions that transform the way we understand and address complex healthcare challenges.

• *About arenaflex**

arenaflex is a pioneering organization that is dedicated to harnessing the power of data science and technology to drive innovation in healthcare. Our team of experts is passionate about leveraging real-world evidence (RWE) and clinical trials to develop insights that can inform better treatment options, improve patient outcomes, and reduce healthcare costs. With a strong commitment to excellence and a culture of collaboration, arenaflex is the ideal place for talented professionals who share our vision and are eager to make a meaningful impact.

• *Job Summary**

We are seeking an experienced Full Stack Data Scientist to join our team and contribute to the development of innovative solutions that leverage RWE and clinical trials. As a key member of our Clinical Trials team, you will be responsible for designing and executing advanced data analysis and machine learning models to extract insights from large datasets. Your expertise will be essential in driving the development of new treatments, improving patient outcomes, and reducing healthcare costs.

• *Key Responsibilities**

• Design and execute advanced data analysis and machine learning models to extract insights from large datasets
• Collaborate with cross-functional teams to develop and implement data-driven solutions that inform clinical trials and RWE initiatives
• Develop and maintain high-quality data pipelines and data visualization tools to support data analysis and reporting
• Work with stakeholders to identify business needs and develop data-driven solutions to address complex healthcare challenges
• Stay up-to-date with the latest advancements in data science and machine learning, and apply this knowledge to drive innovation and improvement in our solutions
• Collaborate with other data scientists and analysts to develop and maintain a robust and scalable data infrastructure
• Develop and maintain high-quality documentation and reports to support data analysis and decision-making

• *Essential Capabilities**

• 2+ years of experience with R, Python, or SQL
• Experience in designing and executing powerful and reproducible statistical analyses with regards to epidemiology and observational research with healthcare data
• Knowledge of standard statistical testing strategies including generalized linear models, regression and classification, decision trees, machine learning, time series analysis, and survival analysis
• Experience handling large datasets from various data sources
• Experience handling protected patient health data
• Knowledge of 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 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 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 and benefits package
• Opportunity to work with a talented team of experts in the field of data science and healthcare
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Flexible work arrangements, including remote work options
• Access to cutting-edge technology and tools
• Recognition and rewards for outstanding performance

• *How to Apply**

If you are a motivated and talented data scientist with a passion for healthcare and innovation, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications for this role. We look forward to hearing from you!