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

Join arenaflex's dynamic team as a Part-Time Data Scientist and contribute to the development of cutting-edge research and analysis in the clinical trials and real-world evidence (RWE) space.

About arenaflex

arenaflex is a leading healthcare company dedicated to improving patient outcomes through innovative research and analysis. With a strong commitment to excellence and a passion for advancing medical knowledge, arenaflex is the ideal place for data scientists to grow and develop their skills.

Job Summary

We are seeking an experienced Full Stack Data Scientist to join our Clinical Trials and RWE Analysis team. As a key member of our team, you will be responsible for creating high-quality research and analysis to support our biopharmaceutical partners and internal stakeholders. You will work closely with our Clinical Trials colleagues to design and execute research studies, analyze RWE/RWD, and develop insights to inform business decisions.

Key Responsibilities

* Data Mining and Analysis: Mine crude data collections to deliver normalized, analysis-ready patient datasets from in-house data resources or authorized platforms, analyze and interpret results, and help shape the analysis process.

• Collaboration and Communication: Collaborate with other members of the arenaflex Clinical Trials team to deliver significant insights from genuine world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests.
• Data Cleaning and Storage: Clean, transform, and store data into a unified data lake for future analysis and broader team utilization.
• Research and Development: Perform data mining and statistical analysis to analyze RWE/RWD to discover new insights regarding patient populations and treatment results.
• Knowledge Sharing and Development: Support the development of genuine data, analysis, and platform skills, applying advanced investigation and tools to resolve logical inquiries from biopharmaceutical organizations.
• Study Design and Execution: Work together on the design and execution of results research studies, ensuring high-quality, thorough, and interpretable expectations from RWE review and examinations.
• Reporting and Visualization: Assemble dashboards, analysis, and reports for internal and external use.

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 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 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 analytics and AI strategies, ability to continue self-learning of technical and non-technical skills

What We Offer

* Competitive hourly rate of $27/hour

• Part-time schedule with 8 hours of work per week
• Opportunity to work with a dynamic team of data scientists and researchers
• Collaborative and supportive work environment
• Professional development and growth opportunities
• Comprehensive benefits package, including health insurance, retirement plan, and paid time off

How to Apply

If you are a motivated and experienced data scientist looking to join a dynamic team and contribute to cutting-edge research and analysis, please submit your application through our website. We look forward to hearing from you! Apply to this job Apply for this job