Real World Evidence (RWE) Data Scientist - Clinical Research Analytics & Healthcare Data Insights Specialist (Remote Part-Time Position)

Join arenaflex as a Real World Evidence (RWE) Data Scientist

Are you passionate about transforming healthcare through data-driven insights? Do you thrive on uncovering hidden patterns in complex healthcare datasets that can shape life-changing treatments and patient outcomes? arenaflex is seeking a talented and motivated Real World Evidence (RWE) Data Scientist to join our Clinical Data Science team and help us revolutionize how pharmaceutical companies understand and utilize real-world data to improve patient care.

At arenaflex, we believe that data holds the power to unlock unprecedented insights in healthcare. As part of our Scientific Solutions team, you will play a critical role in generating robust real-world evidence that informs clinical trial design, supports regulatory submissions, and helps biopharmaceutical companies make meaningful decisions about treatments that impact millions of patients worldwide. This is a unique opportunity to apply your analytical expertise in a collaborative environment where innovation and scientific rigor are celebrated.

About arenaflex

arenaflex is a leading healthcare innovation company dedicated to advancing medical science through cutting-edge data analytics and research methodologies. Founded with a vision to bridge the gap between clinical research and real-world practice, we partner with top pharmaceutical companies, healthcare providers, and research institutions to deliver actionable insights that improve patient outcomes. Our commitment to excellence, integrity, and innovation has made us a trusted name in the healthcare analytics industry.

When you join arenaflex, you become part of a dynamic team of scientists, data analysts, and healthcare experts who share a common goal: to harness the power of data to create a healthier world. We foster a culture of continuous learning, collaboration, and intellectual curiosity, where every team member is empowered to contribute their unique perspective and expertise.

Position Overview

We are currently looking for a Real World Evidence (RWE) Data Scientist to support our Clinical Data Science division. In this role, you will be responsible for designing and executing sophisticated data analyses that generate meaningful real-world evidence from diverse healthcare data sources. You will work closely with cross-functional teams to translate complex data into clear, actionable insights that address critical business questions in the clinical trials space.

This is a part-time remote position that offers flexibility and work-life balance while allowing you to make a significant impact in the healthcare industry. The ideal candidate will have a strong background in statistical analysis, experience working with large healthcare datasets, and a passion for applying data science techniques to solve real-world clinical problems.

Key Responsibilities

• Data Mining and Analysis: Mine raw datasets from internal data repositories and licensed platforms to create normalized, analysis-ready patient cohorts. Analyze and interpret complex data to deliver meaningful insights that shape our research strategy.
• Cross-Functional Collaboration: Partner with clinical trial teams and other stakeholders to extract valuable insights from real-world, clinical, and diverse data sources. Support biopharmaceutical RWE requests and clinical trial inquiries, including analyses of unmet medical needs, safety and efficacy profiles in specific disease states, treatment patterns, healthcare economic burden, and cost-effectiveness modeling.
• Data Management and Organization: Clean, transform, and store data into a unified data lake architecture that supports future analysis and enables broader team utilization. Ensure data integrity, consistency, and accessibility across the organization.
• Statistical Analysis and Modeling: Perform advanced data mining and statistical analysis on real-world evidence/real-world data (RWE/RWD) to discover new insights regarding patient populations and treatment outcomes. Apply sophisticated statistical methodologies to address complex research questions.
• Capability Development: Support the development of real-world data, analytics, and platform capabilities. Apply advanced analytics tools and techniques to answer scientific inquiries from biopharmaceutical partners.
• Research Study Execution: Collaborate on the design and implementation of outcomes research studies, ensuring methodological rigor and scientific validity in all analytical approaches.
• Quality Assurance and Reporting: Ensure high-quality, rigorous, and readily interpretable outputs from RWE reviews and investigations. Develop dashboards, analyses, and comprehensive reports for both internal and external stakeholders.
• Vendor Evaluation: Conduct due diligence on new real-world data providers and vendors. Drive RWD quality assessments to inform project decisions and ensure we work with the highest quality data sources.

Essential Qualifications

• Educational Background: Bachelor's degree in Statistics, Biostatistics, Epidemiology, Data Science, Public Health, or a related quantitative field. Advanced degrees are a plus but not required.
• Technical Proficiency: Minimum of 2 years of hands-on experience with statistical programming languages such as R, Python, or SQL. Strong coding skills and the ability to manipulate large datasets efficiently.
• Statistical Expertise: Experience designing and executing robust, reproducible statistical investigations in the context of epidemiology and observational research with healthcare data. Proficiency in common statistical testing methods including generalized linear models, classification and regression, decision trees, unsupervised learning, time series analysis, and survival analysis.
• Data Handling Experience: Demonstrated experience processing large-scale data from multiple diverse data sources. Familiarity with data lake architectures and cloud-based data platforms.
• Healthcare Data Privacy: Experience handling protected patient health information (PHI) with strict adherence to privacy regulations and security protocols.
• Business Intelligence Tools: Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other business intelligence and visualization tools.

Preferred Qualifications

• Healthcare Data Expertise: Proficiency in EMR/Electronic Health Records, disease registries, and insurance claims databases. Deep understanding of healthcare data ecosystems and patient journey analysis.
• Clinical Data Standards: Familiarity with clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD-9/10, Read Codes, SNOMED CT).
• Regulatory Knowledge: Experience with Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO standards, MDD/MDR, CFR Title 21).
• Alternative Data Sources: Experience working with alternative data sources and innovative methods for clinical data collection, particularly those enabled by technology platforms and digital health solutions.
• Advanced Methodologies: Knowledge of clinical trial design, Bayesian modeling, sequential analysis, and computational statistics. Understanding of machine learning techniques and their application in healthcare analytics.
• Continuous Learning: Strong understanding of statistical and machine learning techniques with a demonstrated ability to continuously self-learn and stay current with emerging technical and non-technical skills.

Skills and Competencies Required for Success

• Analytical Thinking: Strong problem-solving abilities with a keen eye for detail and accuracy. Capable of approaching complex questions with logical frameworks and developing innovative solutions.
• Communication Skills: Excellent written and verbal communication skills, with the ability to translate complex technical findings into clear, actionable insights for both technical and non-technical audiences.
• Collaboration and Teamwork: Strong interpersonal skills with the ability to work effectively in cross-functional teams and build productive relationships with internal and external stakeholders.
• Project Management: Ability to manage multiple projects simultaneously, prioritize tasks effectively, and meet deadlines in a fast-paced environment.
• Initiative and Innovation: Proactive approach to identifying opportunities and suggesting improvements. Creative thinker who brings new perspectives to challenging problems.
• Attention to Quality: Commitment to producing high-quality work with rigorous attention to detail, ensuring accuracy and reproducibility in all analyses.

Career Growth Opportunities and Learning Benefits

At arenaflex, we are invested in the professional development and career growth of our team members. As an RWE Data Scientist, you will have access to a wide range of opportunities to expand your expertise and advance your career:

• Professional Development: Comprehensive training programs, workshops, and certification opportunities in cutting-edge analytics tools, methodologies, and healthcare domain knowledge.
• Career Advancement: Clear career pathways for progression into senior analytical roles, team leadership positions, or specialized research areas based on your interests and performance.
• Exposure to Diverse Projects: Opportunity to work on a wide variety of projects across different therapeutic areas, exposing you to diverse healthcare challenges and expanding your industry knowledge.
• Industry Recognition: Platform to present your work at industry conferences, publish research findings, and contribute to the advancement of real-world evidence science.
• Mentorship Programs: Access to experienced mentors who can guide your professional development and help you navigate your career path within the organization.

Work Environment and Company Culture

arenaflex promotes a flexible, inclusive, and collaborative work environment that supports both professional excellence and personal well-being. As a remote part-time team member, you will enjoy:

• Flexible Work Arrangements: The ability to work from home with flexible scheduling that accommodates your personal needs and work-life balance.
• Inclusive Culture: A diverse and inclusive workplace where different perspectives are valued, and every team member feels respected and empowered to contribute.
• Collaborative Environment: Regular team meetings, knowledge-sharing sessions, and cross-functional collaborations that foster innovation and collective problem-solving.
• Modern Technology: Access to state-of-the-art tools, platforms, and technologies needed to perform your role effectively.
• Employee Well-Being: Commitment to employee wellness through resources, programs, and support systems that promote physical, mental, and emotional well-being.

Compensation and Benefits

arenaflex offers a competitive compensation package designed to recognize your skills, experience, and contributions. In addition to the hourly rate of $27, part-time employees enjoy a range of benefits including:

• Flexible Scheduling: Part-time positions with flexible hours that adapt to your lifestyle and commitments.
• Health and Wellness: Access to comprehensive health, dental, and vision insurance coverage for eligible employees and their families.
• Paid Time Off: Generous paid time off policies including holidays, vacation days, and sick leave.
• Professional Development: Reimbursement for relevant certifications, training programs, and conference attendance.
• Employee Assistance Program: Confidential counseling and support services for personal and professional challenges.
• Retirement Benefits: 401(k) retirement savings plan with employer matching contributions to help you build financial security for the future.
• Employee Discounts: Discounts on products and services, reinforcing our commitment to employee well-being and value.
• Wellness Programs: Access to wellness initiatives, fitness resources, and health screenings to support your overall well-being.

Why Join arenaflex?

This is an exciting opportunity to be part of a forward-thinking organization that is transforming healthcare through data-driven innovation. As an RWE Data Scientist at arenaflex, you will not only apply your technical expertise to meaningful healthcare challenges but also contribute to work that ultimately improves patient lives around the world.

We value curiosity, creativity, and a commitment to excellence. If you are passionate about leveraging data to generate real-world evidence that shapes healthcare decisions, we encourage you to apply. Join our team and become part of a community that is making a difference in the world of clinical research and healthcare analytics.

How to Apply

Ready to take the next step in your career? We invite you to join arenaflex and help us shape the future of healthcare through evidence-based insights. Apply today to become part of our talented team and start making an impact in the dynamic field of real-world evidence analytics.

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, protected veteran status, or any other characteristic protected by law.