At arenaflex, we're on a mission to revolutionize the way we approach healthcare and clinical trials. As a leading innovator in the industry, we're seeking an experienced Full Stack Data Scientist to join our team and help us unlock the power of Real-World Evidence (RWE). If you're passionate about using data science to drive business decisions and improve patient outcomes, we want to hear from you.
**About arenaflex**
arenaflex is a pioneering company that's changing the face of healthcare and clinical trials. With a strong focus on innovation and collaboration, we're committed to delivering cutting-edge solutions that make a real difference in people's lives. Our team is made up of talented individuals from diverse backgrounds, all united by a shared passion for using data science to drive positive change.
**Job Summary**
As a Full Stack Data Scientist at arenaflex, you'll play a critical role in our Clinical Trials team. You'll be responsible for creating high-quality, actionable insights from complex data sets, using advanced statistical and machine learning techniques. Your work will have a direct impact on our business decisions and patient outcomes, making you a key contributor to our success.
**Key Responsibilities**
* Mine crude data sets to extract normalized, analysis-ready patient data from in-house resources or authorized platforms, analyze and interpret results, and inform investigation procedures.
* Collaborate with cross-functional teams to distill meaningful insights from real-world, clinical, and other data sources, supporting biopharmaceutical RWE and clinical trial initiatives.
* Clean, transform, and store data into a unified data lake for future analysis and broader team utilization.
* Perform data mining and statistical analysis to extract new insights from RWE/RWD regarding patient populations and treatment outcomes.
* Develop and apply advanced statistical and machine learning techniques to resolve complex research questions from biopharmaceutical organizations.
* Work closely with stakeholders to design and execute results research studies.
* Ensure high-quality, thorough, and interpretable findings from RWE reviews and analyses.
* Develop dashboards, analysis, and reports for internal and external use.
* Conduct a significant portion 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 in the context of epidemiology 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 datasets from various 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 terminology, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode).
* Experience in 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.
* 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: $27/hour
* Flexible, remote work arrangement
* Opportunities for career growth and professional development
* Collaborative, dynamic work environment
* Comprehensive benefits package
* Access to cutting-edge technology and tools
* Recognition and rewards for outstanding performance
**How to Apply**
If you're a motivated and talented data scientist looking for a new challenge, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your experience and qualifications. We can't wait to hear from you!