Experienced Full Stack Data Scientist – Clinical Research and Evidence Generation

Posted 2026-05-05

Remote, USA Full-time Immediate Start

At arenaflex, we are committed to revolutionizing the way we approach healthcare and medical research. As a leading innovator in the industry, we are seeking an experienced Full Stack Data Scientist to join our Clinical Research and Evidence Generation team. This is an exciting opportunity to work with cutting-edge technologies and methodologies to drive meaningful insights and discoveries in the clinical trials space.

*About arenaflex**

arenaflex is a pioneering organization that is dedicated to harnessing the power of data science and technology to transform the healthcare landscape. Our team of experts is passionate about leveraging advanced analytics and machine learning techniques to drive innovation and improve patient outcomes. We are committed to fostering a culture of collaboration, creativity, and continuous learning, and we are seeking like-minded individuals to join our mission.

*Job Summary**

We are seeking an experienced Full Stack Data Scientist to join our Clinical Research and Evidence Generation team. As a key member of our team, you will be responsible for designing and implementing advanced data analysis and machine learning models to drive insights and discoveries in the clinical trials space. You will work closely with our clinical research colleagues to develop and execute research studies, and will be responsible for ensuring the quality and integrity of our data and research findings.

*Key Responsibilities**

Design and implement advanced data analysis and machine learning models to drive insights and discoveries in the clinical trials space
Collaborate with clinical research colleagues to develop and execute research studies, including the design and implementation of data collection and analysis plans
Ensure the quality and integrity of our data and research findings, including the development and implementation of data quality control and validation procedures
Develop and maintain dashboards, reports, and other data visualizations to support research and business decisions
Conduct literature reviews and stay up-to-date with the latest research and methodologies in the field of clinical trials and evidence generation
Collaborate with cross-functional teams to develop and implement new research initiatives and projects
Develop and maintain relationships with external partners and vendors to support research and business objectives

*Essential Capabilities**

2+ years of experience with R, Python, or SQL programming languages
Experience in designing and implementing powerful and reproducible statistical analyses, including studies of disease transmission and observational research with healthcare data
Knowledge of normal statistical testing strategies, including generalized linear models, regression and classification, decision trees, machine learning, time series analysis, and survival analysis
Experience handling large datasets from multiple sources
Experience handling protected patient health information
Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other business intelligence 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 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 and benefits package
Opportunity to work with cutting-edge technologies and methodologies
Collaborative and dynamic work environment
Professional development and growth opportunities
Recognition and rewards for outstanding performance
Flexible work arrangements, including remote work options

*How to Apply**

If you are a motivated and experienced data scientist looking for a new challenge, please submit your application, including your resume and a cover letter, to [insert contact information]. We look forward to hearing from you!