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

Join arenaflex in a Part-Time Remote Opportunity with a Competitive Hourly Rate of $27

About arenaflex

arenaflex is a leading healthcare company dedicated to revolutionizing the way we approach medical research and clinical trials. With a strong commitment to innovation and excellence, we strive to make a meaningful impact on the lives of patients and healthcare professionals worldwide. Our team of experts is passionate about harnessing the power of data science to drive insights and inform decision-making in the healthcare industry.

Job Summary

We are seeking an experienced Full Stack Data Scientist to join our Clinical Trials team in a part-time remote capacity. As a key member of our team, you will be responsible for creating high-quality Real-World Evidence (RWE) through cutting-edge research and innovative methodologies in the clinical trials space. You will work closely with our team to design and execute data-driven solutions that address critical business questions and drive business growth.

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 other members of the arenaflex Clinical Trials team to convey significant insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests.
• Clean, transform, and store data into a unified data lake for future analysis and broader team utilization.
• Perform data mining and statistical analysis to analyze RWE/RWD to discover new insights regarding patient populations and treatment results.
• Support the development of real-world evidence, analysis, and stage capabilities, applying advanced investigation and tools to resolve logical inquiries from biopharmaceutical organizations.
• Work together on the design and execution of results research studies.
• Ensure high-quality, thorough, and interpretable expectations from RWE review and examinations.
• Assemble dashboards, analysis, and reports for internal and external use.
• Conduct an expected level 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 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 managing protected patient health data.
• Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI insight 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 managing alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology stages 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

• Part-time remote opportunity with flexible scheduling
• Opportunity to work with a leading healthcare company
• Collaborative and dynamic work environment
• Professional development and growth opportunities
• Comprehensive benefits package, including health, dental, and vision insurance
• Generous paid time off and holidays
• Access to cutting-edge technology and tools
• Recognition and rewards for outstanding performance

How to Apply

If you are a motivated and experienced data scientist looking for a new challenge, please submit your application through our website. We look forward to hearing from you! Apply Now! Apply for this job