Experienced Full Stack Data Scientist – Clinical Trials and Real-World Evidence

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 seeking an experienced Full Stack Data Scientist to join our Clinical Trials and Real-World Evidence (RWE) team. This is an exciting opportunity to work with cutting-edge technologies and methodologies, driving insights that can transform the lives of patients and healthcare professionals worldwide.

About arenaflex

arenaflex is a pioneering organization that's pushing the boundaries of what's possible in healthcare and medical research. With a strong focus on innovation, collaboration, and excellence, we're creating a new standard for data-driven insights and decision-making. Our team is comprised of talented individuals from diverse backgrounds, united by a shared passion for making a meaningful impact.

Job Summary

As a Full Stack Data Scientist, you'll play a critical role in our Clinical Trials and RWE team, working closely with cross-functional teams to design, develop, and implement advanced data analytics solutions. You'll be responsible for extracting insights from complex data sets, identifying trends and patterns, and developing predictive models to inform business decisions. Your expertise will help us drive innovation, improve patient outcomes, and advance the field of medical research.

Key Responsibilities

* Extract, transform, and load (ETL) data from various sources, including in-house databases, authorized platforms, and external data providers

• Develop and maintain advanced data analytics pipelines using R, Python, and SQL
• Design and execute statistical models to analyze RWE/RWD, identifying new insights into patient populations and treatment outcomes
• Collaborate with biopharmaceutical organizations to develop and implement results research studies
• Ensure high-quality, interpretable results from RWE reviews and examinations
• Develop dashboards, analysis, and reports for internal and external stakeholders
• Conduct quality evaluations of new data suppliers and drive RWD quality assessments to inform project decisions

Essential Capabilities

* 2+ years of experience with R, Python, or SQL

• Proven track record of designing and executing effective, reproducible statistical analyses in epidemiology and observational research with healthcare data
• Strong understanding 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
• Familiarity with handling protected patient health information
• Knowledge of at least one business intelligence (BI) tool, such as Tableau, Power BI, Alteryx, Spotfire, or other similar platforms

Preferred Capabilities

* Mastery of electronic medical records (EMR)/health IT, disease libraries, and claims data sets

• Familiarity with clinical data principles, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode)
• Experience with 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
• Familiarity with trial design, Bayesian modeling, sequential data, computational statistics
• Understanding of machine learning and AI strategies, with a willingness to continue learning and developing new skills

What We Offer

* Competitive salary: $27/hour

• Flexible, remote work arrangement
• Opportunity to work with cutting-edge technologies and methodologies
• Collaborative, dynamic work environment
• Professional development and growth opportunities
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off

How to Apply

If you're a motivated, detail-oriented, and results-driven data scientist with a passion for healthcare and medical research, we encourage you to apply for this exciting opportunity. Please submit your resume, cover letter, and a portfolio of your work to [insert contact information]. We can't wait to hear from you! Apply for this job