Experienced Real World Evidence Data Scientist – Healthcare Analytics & Clinical Research

About arenaflex

Welcome to arenaflex, a forward-thinking healthcare innovation company dedicated to transforming patient outcomes through cutting-edge data science and real-world evidence (RWE) research. At arenaflex, we believe that data holds the power to revolutionize healthcare decision-making, accelerate clinical trials, and ultimately improve lives around the globe. Our team of passionate scientists, analysts, and technologists works collaboratively to turn complex healthcare data into actionable insights that shape the future of medicine.

We're currently seeking a talented and motivated Real World Evidence Data Scientist to join our dynamic Clinical Data Science team. This is an exciting opportunity for someone who thrives in a research-driven environment and wants to make a meaningful impact on healthcare outcomes through advanced analytics and innovative methodologies.

Position Overview

As an Information Researcher – Real World Evidence at arenaflex, you will be responsible for generating transformative Real World Evidence through advanced research and creative approaches in the clinical trials space. You will play an integral part of our Scientific Solutions team, working alongside cross-functional experts to address critical business questions facing our biopharmaceutical partners. If you're passionate about influencing internal and external decision-making through the use of innovative data science and technology, this role is perfect for you.

Key Responsibilities

• Data Mining and Preparation: Mine raw datasets to deliver normalized, analysis-ready patient cohorts from in-house data assets or licensed platforms. Analyze and interpret results while contributing to the development of comprehensive analysis strategies that drive meaningful outcomes.


• Cross-Functional Collaboration: Partner with various members of the arenaflex Clinical Trial team to deliver valuable insights from real-world, clinical, and other data sources that support biopharmaceutical RWE and clinical trial requests. This includes research on unmet needs, safe and effective treatments in specific disease states, treatment patterns, healthcare burden, and cost-effectiveness modeling.


• Data Management and Storage: Clean, transform, and store data into a structured data lake architecture for future analysis and broader team utilization. Ensure data integrity, security, and accessibility across the organization.


• Statistical Analysis and Insights: Perform data mining and advanced statistical analysis to examine RWE/Real World Data (RWD) and uncover new insights regarding patient populations and treatment outcomes. Apply cutting-edge techniques to identify patterns and trends that inform healthcare decisions.


• Capability Development: Support the development of real-world data analysis and platform capabilities, applying advanced analytics and tools to address scientific inquiries from biopharmaceutical companies. Contribute to building scalable solutions that enhance our research infrastructure.


• Study Design and Execution: Collaborate on the design and execution of outcomes research studies, ensuring methodological rigor and scientific validity. Work closely with clinical experts to develop robust study protocols and analysis plans.


• Quality Assurance: Ensure high-quality, rigorous, and readily interpretable outputs from RWE reviews and investigations. Maintain rigorous standards for data quality, methodology, and reporting to deliver results that stand up to scientific scrutiny.


• Reporting and Visualization: Build dashboards, analyses, and reports for both internal and external use. Create compelling visualizations that communicate complex findings to diverse stakeholders, including clinical teams, executive leadership, and client partners.


• Vendor Evaluation: Conduct due diligence on new real-world data providers and vendors. Drive RWD quality assessments to inform investment decisions and ensure we work with the highest quality data sources available.

Essential Qualifications

• Educational Background: Bachelor's degree in a relevant field such as Statistics, Biostatistics, Data Science, Computer Science, Mathematics, or a related quantitative discipline. Advanced degrees are a plus but not required for this level.


• Statistical Expertise: Experience designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data. Strong foundation in statistical methodology and research design.


• Statistical Techniques: Knowledge of common statistical testing methods including generalized linear models, classification and regression, decision trees, unsupervised learning, time series analysis, and survival analysis.


• Large Data Handling: Proven experience processing large-scale data from diverse data sources. Comfortable working with complex, high-dimensional datasets and able to extract meaningful patterns from vast amounts of information.


• Healthcare Data Experience: Experience handling protected patient health information (PHI) with a strong understanding of HIPAA regulations and data privacy requirements in healthcare settings.


• Visualization Tools: Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other business intelligence and visualization tools. Ability to create intuitive dashboards and reports.

Preferred Qualifications

• Advanced Degree: PhD or Master's degree in Statistics, Biostatistics, Computer Science, Mathematics, Systems Engineering, Biomedical Engineering, or a related field. Advanced training in quantitative methods is highly valued.


• Healthcare Data Systems: Proficiency in EMR/Electronic Health Records, disease registries, and insurance claims databases. Familiarity with healthcare data ecosystems and data flows.


• Clinical Terminologies: Expertise in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies, including ICD-9/10 and Read Codes.


• Regulatory Knowledge: Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials, including ISO standards, MDD/MDR, and CFR (Code of Federal Regulations).


• Innovative Data Collection: Experience working with alternative data sources and alternative methods for clinical data collection, especially those enabled by technology platforms or digital health solutions.


• Advanced Statistical Methods: Experience with experimental design, Bayesian modeling, sequential analysis, and computational statistics. Familiarity with modern machine learning approaches and their application to healthcare problems.


• Continuous Learning: Strong understanding of statistics and machine learning techniques, with the ability to pursue self-learning of both technical and non-technical skills. A growth mindset is essential for success in this rapidly evolving field.

Skills and Competencies

• Analytical Thinking: Strong problem-solving skills with the ability to approach complex questions methodically and develop creative solutions.


• Technical Proficiency: Proficiency in programming languages such as Python, R, or SAS for data analysis and statistical modeling.


• Communication Skills: Excellent written and verbal communication skills, with the ability to translate technical findings into clear, actionable insights for non-technical stakeholders.


• Collaboration: Strong team player who can work effectively across functional teams and build productive relationships with internal and external partners.


• Attention to Detail: Meticulous approach to data quality and analysis, ensuring accuracy and reproducibility in all work products.


• Time Management: Ability to manage multiple projects simultaneously and meet tight deadlines in a fast-paced environment.


• Initiative: Proactive approach to identifying opportunities and driving improvements in processes and methodologies.

Career Growth Opportunities

At arenaflex, we invest in our people's professional development and provide numerous opportunities for career advancement. As a Real World Evidence Data Scientist, you'll have access to:

• Technical Development: Ongoing training in cutting-edge analytics methodologies, emerging healthcare data sources, and advanced statistical techniques.


• Career Pathways: Clear progression routes to senior analytical roles, team leadership positions, or specialized areas of expertise within the organization.


• Industry Exposure: Opportunities to work with leading biopharmaceutical companies and gain insights into the broader healthcare ecosystem.


• Conference Participation: Support for attending and presenting at industry conferences, workshops, and professional development events.


• Certification Programs: Access to professional certification programs in relevant areas such as clinical research, data science, and healthcare analytics.

Work Environment and Culture

arenaflex fosters a collaborative, inclusive, and intellectually stimulating work environment where innovation thrives. We value diversity of thought and encourage creative problem-solving. Our team culture emphasizes:

• Work-Life Balance: Flexible work arrangements and supportive policies that help you maintain balance between professional and personal commitments.


• Team Spirit: Regular team-building activities, knowledge-sharing sessions, and cross-functional projects that foster collaboration and camaraderie.


• Innovation Culture: Encouragement to explore new ideas, experiment with innovative approaches, and challenge conventional thinking.


• Professional Respect: A meritocratic environment where contributions are recognized and rewarded, and everyone's voice matters.

Compensation and Benefits

We offer a competitive compensation package designed to attract and retain top talent. The starting salary for this position ranges from $20 to $30 per hour, depending on experience and qualifications. In addition to base compensation, arenaflex provides:

• Comprehensive Health Benefits: Medical, dental, and vision coverage for employees and their families.


• Retirement Plans: 401(k) retirement savings plan with company matching.


• Paid Time Off: Generous vacation, sick leave, and personal days.


• Professional Development: Annual learning and development budget for courses, certifications, and conferences.


• Wellness Programs: Access to wellness resources and programs to support your overall well-being.


• Employee Assistance Program: Confidential support services for personal and professional challenges.

How to Apply

If you're ready to join a dynamic team that's transforming healthcare through data-driven insights, we encourage you to apply for this exciting opportunity. At arenaflex, you'll work on meaningful projects that make a real difference in patient care and healthcare outcomes.

We're looking for passionate individuals who are excited about leveraging data science to solve complex healthcare challenges. If you have the skills and experience we're seeking, we want to hear from you!

To apply, please submit your resume and cover letter highlighting your relevant experience and qualifications. Our hiring team will review applications and reach out to qualified candidates for further consideration.

arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, or any other characteristic protected by law.