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 player in the industry, we're committed to harnessing the power of data science to drive innovation and improve patient outcomes. We're now seeking an experienced Full Stack Data Scientist to join our team and contribute to the development of cutting-edge solutions in the clinical trials space.

About arenaflex

arenaflex is a pioneering organization that's dedicated to transforming the healthcare landscape through data-driven insights and innovative technologies. Our team of experts is passionate about leveraging the latest advancements in data science, machine learning, and artificial intelligence to drive meaningful change. With a strong focus on collaboration and continuous learning, we're creating a culture that's both challenging and rewarding.

Job Summary

As a Full Stack Data Scientist at arenaflex, you'll play a critical role in creating genuine proof (RWE) through advanced research and innovative methodologies in the clinical trials space. You'll be part of our Logical Issues team, working closely with cross-functional groups to drive business impact through the application of creative data science and technology. Your primary responsibility will be to lead sophisticated data analysis to address key business questions, leveraging your expertise in data mining, statistical analysis, and machine learning.

Key Responsibilities

* Mine raw data collections to deliver normalized, analysis-ready patient datasets from in-house data resources or authorized platforms, analyze and interpret results, and contribute to the development of investigation procedures.

• 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.
• Clean, transform, and store data into a unified data lake for future analysis and broader team utilization.
• Perform data mining and statistical analysis to examine RWE/RWD and uncover new insights regarding patient populations and treatment outcomes.
• Support the development of genuine data, analysis, and platform capabilities, applying advanced investigation and tools to resolve logical questions from biopharmaceutical organizations.
• Work collaboratively on the design and execution of results research studies.
• Ensure high-quality, comprehensive, and timely interpretations 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 vendors 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 related to epidemiology and observational research with healthcare data.
• Knowledge of standard statistical testing methods including generalized linear models, regression and classification, decision trees, supervised learning, time series analysis, and survival analysis.
• Experience handling large data from various data 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 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 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 salary: $27/hour

• Opportunity to work with a leading organization in the healthcare industry
• Collaborative and dynamic work environment
• Professional growth and development opportunities
• Comprehensive benefits package
• Flexible work arrangements, including remote work options

How to Apply

If you're a motivated and experienced data scientist looking to join a dynamic team and contribute to the development of cutting-edge solutions in the clinical trials space, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. Apply for this job