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

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About arenaflex

Welcome to arenaflex, a leading innovator in healthcare analytics and real-world evidence (RWE) generation. At arenaflex, we believe that data has the power to transform lives. By harnessing advanced analytics and cutting-edge technology, we're helping biopharmaceutical companies, healthcare providers, and researchers uncover actionable insights that improve patient outcomes and drive medical innovation.

Our mission is to bridge the gap between clinical research and real-world practice. We work tirelessly to generate credible, high-quality real-world evidence that informs drug development, treatment protocols, and healthcare policy decisions. As part of our Clinical Trials and Evidence Generation team, you'll play a pivotal role in shaping the future of healthcare through data-driven discoveries.

At arenaflex, we value curiosity, collaboration, and continuous learning. Our team is composed of talented data scientists, biostatisticians, epidemiologists, and healthcare experts who share a common goal: to leverage data for good. We offer a dynamic, inclusive work environment where your contributions truly matter. Whether you're analyzing complex healthcare datasets, developing innovative statistical models, or collaborating with cross-functional teams, your work at arenaflex will have a meaningful impact on patients, providers, and the broader healthcare ecosystem.

Position Overview

We are seeking a talented and motivated Real-World Evidence Data Scientist to join our Evidence Generation team at arenaflex. In this critical role, you will be responsible for producing high-quality Real-World Evidence (RWE) through advanced research and innovative methodologies in the clinical trials space. You will serve as a vital member of our Scientific Projects team, working to influence decision-making both internally and externally through the use of creative data science and technology.

This position offers an exciting opportunity to work with diverse healthcare data sources, collaborate with industry-leading biopharmaceutical partners, and contribute to groundbreaking research that shapes the future of medicine. The ideal candidate will be passionate about data, driven by curiosity, and committed to delivering rigorous, actionable insights that advance healthcare outcomes.

Key Responsibilities

• Data Mining and Analysis: Mine raw data sets from in-house resources or licensed platforms to deliver normalized, analysis-ready patient cohorts. Analyze and interpret results, and help shape analysis strategy to address critical business questions.


• Cross-Functional Collaboration: Partner with members of the arenaflex Clinical Trial team to deliver meaningful insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests. Potential projects include analysis of unmet needs, safety and efficacy in specific disease states, treatment patterns and healthcare burden, and cost-effectiveness modeling.


• Data Management: Clean, transform, and store data into an integrated data lake for future analysis and broader team utilization. Ensure data integrity, consistency, and accessibility across the organization.


• Statistical Analysis: Perform data mining and statistical analysis to analyze RWE/Real-World Data (RWD) to discover new insights regarding patient populations and treatment outcomes. Apply advanced statistical techniques to uncover patterns, trends, and correlations.


• Capability Development: Support the development of real-world data, analytics, and platform capabilities. Apply advanced analytics and tools to answer scientific questions from biopharmaceutical companies.


• Research Design: Collaborate on the design and execution of outcomes research studies. Contribute to study protocols, analysis plans, and methodological approaches.


• Quality Assurance: Ensure high-quality, rigorous, and readily interpretable outputs from RWE reviews and investigations. Maintain rigorous standards for accuracy, reproducibility, and scientific integrity.


• Reporting and Visualization: Build dashboards, analyses, and reports for internal and external use. Communicate complex findings clearly and effectively to diverse stakeholders.


• Vendor Assessment: Conduct due diligence on new real-world data providers and vendors. Drive RWD quality assessments to inform project decisions and ensure data reliability.

Essential Qualifications

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


• Statistical Techniques: Knowledge of common statistical testing techniques including generalized linear models, clustering and classification, decision trees, unsupervised learning, time series analysis, and survival analysis. Proficiency in applying these methods to real-world healthcare datasets.


• Large Data Handling: Experience handling large data from various data sources. Ability to work with complex, high-dimensional datasets and extract meaningful insights.


• Data Privacy: Experience handling protected patient health information (PHI) with strict adherence to privacy regulations and security protocols. Familiarity with HIPAA compliance and data governance best practices.


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


• Educational Background: Bachelor's degree in statistics, biostatistics, data science, computer science, mathematics, or a related field. Equivalent professional experience will also be considered.

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 statistical methods and healthcare analytics.


• Healthcare Data Expertise: Proficiency in EMR/Health IT systems, disease registries, and insurance claims databases. Familiarity with electronic health record (EHR) data structures and healthcare data ecosystems.


• Clinical Data Standards: Expertise in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD-9/10, Read Code, SNOMED CT, etc.). Understanding of medical coding systems and data standardization.


• Regulatory Knowledge: Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO standards, MDD/MDR, CFR). Understanding of FDA and EMA regulatory requirements for evidence generation.


• Alternative Data Sources: Experience working with alternative data sources and alternative methods for clinical data collection, especially those enabled by technology platforms and/or solutions. Interest in digital health data, wearable devices, and patient-generated health data.


• Advanced Methods: Experience with experimental design, Bayesian modeling, sequential data, and computational statistics. Knowledge of machine learning methods and ability to apply them to healthcare problems.


• Continuous Learning: Understanding of statistics and machine learning methods, with the ability to pursue self-learning of both technical and non-technical skills. Commitment to staying current with emerging trends and best practices in healthcare analytics.

Skills and Competencies

• Analytical Thinking: Strong analytical and problem-solving skills with the ability to approach complex healthcare questions methodically and creatively.


• Technical Proficiency: Advanced proficiency in statistical programming languages such as R, Python, or SAS. Experience with SQL and database management.


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


• Attention to Detail: Meticulous attention to detail and commitment to data quality and scientific rigor.


• Team Collaboration: Strong interpersonal skills and the ability to work effectively in cross-functional teams.


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


• Innovation Mindset: Creative thinker who is eager to explore new approaches and technologies to advance evidence generation capabilities.

Career Growth and Learning Opportunities

At arenaflex, we are committed to the professional development and growth of our team members. As a Data Scientist in our Evidence Generation team, you will have access to numerous opportunities for career advancement and skill development:

• Career Advancement: As you grow in your role, you'll have the opportunity to take on increased responsibilities, lead major projects, and advance into senior or leadership positions within the organization.


• Continuous Learning: We support ongoing education through tuition reimbursement, conference attendance, and professional certification programs. Stay current with the latest developments in data science, healthcare analytics, and regulatory requirements.


• Training Programs: Access internal training sessions, workshops, and seminars led by industry experts. Develop expertise in cutting-edge analytical tools and methodologies.


• Cross-Functional Exposure: Work with diverse teams across the organization, including clinical operations, medical affairs, regulatory affairs, and commercial strategy. Gain a comprehensive understanding of the healthcare and pharmaceutical industries.


• Industry Recognition: Opportunity to present research findings at industry conferences and contribute to peer-reviewed publications. Build your reputation as a thought leader in real-world evidence generation.


• Mentorship: Benefit from mentorship programs pairing you with senior scientists and leaders who can guide your career development and provide valuable insights.

Work Environment and Culture

At arenaflex, we pride ourselves on fostering a collaborative, inclusive, and innovative work environment. Here's what you can expect as part of our team:

• Inclusive Culture: We celebrate diversity and believe that different perspectives drive innovation. Our inclusive workplace welcomes individuals from all backgrounds and experiences.


• Work-Life Balance: We understand the importance of balancing professional and personal commitments. We offer flexible work arrangements, including remote work options, to support your well-being.


• Collaborative Spirit: Collaboration is at the heart of everything we do. You'll work alongside talented colleagues who are passionate about making a difference in healthcare.


• Innovation Hub: We encourage creative thinking and experimentation. You'll have the freedom to explore new ideas and approaches to solving complex healthcare challenges.


• Cutting-Edge Technology: Work with the latest data science tools, platforms, and technologies. We invest in our technical infrastructure to ensure you have what you need to succeed.


• Community Engagement: Participate in company-sponsored community service and volunteer initiatives. Make a positive impact beyond your daily work.

Compensation and Benefits

We recognize that our employees are our greatest asset, and we are committed to providing competitive compensation and comprehensive benefits. At arenaflex, we offer:

• Competitive Salary: A competitive salary of $26 per hour, commensurate with experience and qualifications. We regularly review compensation to ensure we remain competitive in the market.


• Health and Wellness: Comprehensive health care benefits including medical, dental, and vision insurance. Coverage begins on your first day of employment.


• Financial Security: Retirement savings plans with employer matching contributions. Plan for your future with our 401(k) program.


• Paid Time Off: Generous paid time off for holidays, vacation, and sick days. We encourage you to take time to recharge and maintain work-life balance.


• Professional Development: Access to professional development programs, training opportunities, and career advancement resources.


• Employee Assistance Program: Confidential counseling and support services for employees and their families. We're here to support your overall well-being.


• Employee Discounts: Discounts on products and services, including prescription medications and wellness products.


• Wellness Programs: Access to wellness programs designed to promote employee health, including fitness challenges, health screenings, and wellness resources.


• Flexible Scheduling: Flexible scheduling options to meet diverse employee needs. We understand that life happens, and we strive to accommodate your circumstances.

Join Our Team

Are you ready to make a meaningful impact in healthcare through data-driven innovation? Are you passionate about leveraging your analytical skills to generate real-world evidence that improves patient outcomes? If so, we invite you to apply for the Real-World Evidence Data Scientist position at arenaflex.

At arenaflex, you'll be part of a dynamic team that is transforming the way real-world evidence is generated and utilized in healthcare. You'll have the opportunity to work on challenging projects, collaborate with industry leaders, and contribute to advancements that truly matter. Your work will help bring new treatments to patients, inform healthcare decisions, and shape the future of medicine.

We are looking for individuals who are curious, motivated, and committed to excellence. If you have a strong background in data science, statistics, or healthcare analytics, and you're excited about the opportunity to make a difference, we encourage you to apply. Join us at arenaflex and be part of something bigger than yourself.

Apply today and take the next step in your career with arenaflex!