Experienced Real World Evidence (RWE) Data Scientist – Clinical Research & Health Analytics (Remote/Hybrid)

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About arenaflex

Welcome to arenaflex, a leading innovator in healthcare and pharmaceutical services committed to transforming how we understand and utilize real-world health data. Since our founding, we've grown to become a trusted partner for biopharmaceutical companies, healthcare providers, and research institutions seeking to unlock meaningful insights from complex healthcare datasets. Our mission is to advance patient outcomes through cutting-edge data science, evidence-based research, and transformative technology solutions.

At arenaflex, we believe that the future of healthcare lies in the intelligent application of data. Our team of world-class data scientists, researchers, and clinical experts work collaboratively to generate Real World Evidence (RWE) that shapes treatment guidelines, informs regulatory decisions, and ultimately improves patient care. We pride ourselves on fostering an environment where curiosity thrives, innovation is encouraged, and every team member has the opportunity to make a meaningful impact on global health outcomes.

Join our Dynamic Clinical Data Science team and become part of an organization that values excellence, integrity, and the relentless pursuit of scientific discovery. Whether you're a seasoned data scientist or an emerging talent looking to grow in the healthcare analytics space, arenaflex offers the resources, mentorship, and challenging projects to accelerate your career.

Position Overview: Information Researcher – Real World Evidence (RWE)

We are currently seeking a talented and motivated Information Researcher – Real World Evidence to join our Clinical Data Science division. This is a part-time position offering competitive compensation of $27/hour with flexible remote work arrangements available for qualified candidates located in the New York area.

In this critical role, you will be responsible for generating Real World Evidence through advanced research methodologies and innovative approaches within the clinical trials space. You will serve as an integral member of our Scientific Issues team, working to influence both internal and external decision-making through the use of creative data science and technology solutions. This position reports directly to the Chief of Clinical Data Science and offers significant opportunities for professional growth and skill development.

The ideal candidate will be passionate about leveraging healthcare data to answer complex clinical questions, possess strong statistical and programming skills, and thrive in a collaborative, research-driven environment. If you're ready to apply your expertise in data science to make a tangible difference in healthcare outcomes, we encourage you to explore this exciting opportunity with arenaflex.

Key Responsibilities

As an Information Researcher – Real World Evidence at arenaflex, you will undertake a diverse range of responsibilities that contribute to our mission of advancing healthcare through data-driven insights:

• Data Mining and Preparation: Mine raw datasets to deliver normalized, analysis-ready patient cohorts from in-house data resources or licensed platforms. You will analyze and interpret results, ultimately shaping our overall analysis strategy and ensuring the highest quality outputs for stakeholder decision-making.
• Cross-Functional Collaboration: Partner with various members of the arenaflex Clinical Trial team to deliver meaningful insights from real-world, clinical, and other data sources. Your work will support biopharmaceutical RWE and clinical trial requests, including investigations of unmet medical needs, safety and efficacy profiles in specific disease states, treatment patterns, healthcare economic burden, and cost-effectiveness modeling.
• Data Infrastructure Development: Clean, transform, and store data into a structured data lake environment for future analysis and broader team utilization. You will ensure data integrity, accessibility, and adherence to best practices in healthcare data management.
• Statistical Analysis and Modeling: Perform sophisticated data mining and statistical analysis to examine RWE/Real World Data (RWD) and discover new insights regarding patient populations and treatment outcomes. This includes developing predictive models, conducting survival analyses, and applying advanced statistical techniques to complex healthcare datasets.
• Capability Building: Support the development of real-world data, analytics, and platform capabilities within the organization. Apply advanced analytics and tools to address scientific inquiries from biopharmaceutical clients, contributing to our reputation as a leader in RWE generation.
• Research Study Execution: Collaborate on the design and execution of outcomes research studies, ensuring methodological rigor and alignment with regulatory and scientific standards.
• Quality Assurance and Reporting: Ensure high-quality, rigorous, and readily interpretable outputs from RWE reviews and investigations. Build dashboards, analyses, and comprehensive reports for both internal and external stakeholder consumption.
• Vendor Assessment: Conduct due diligence on new real-world data providers and vendors, driving RWD quality assessments to inform investment decisions and partnership opportunities.

Essential Qualifications & Requirements

To succeed in this role, candidates must demonstrate the following required qualifications and competencies:

• Educational Background: Bachelor's degree in a relevant field such as Statistics, Biostatistics, Epidemiology, Data Science, Public Health, or a related quantitative discipline. Advanced degrees are preferred but not required.
• Programming Expertise: Minimum 2 years of hands-on experience with programming languages including R, Python, or SQL. Proficiency in at least one of these languages is required, with demonstrated ability to write efficient, reproducible code.
• Statistical Analysis Experience: Experience designing and executing robust and reproducible statistical analyses within the context of epidemiology and observational research using healthcare data. Familiarity with causal inference methods and advanced statistical modeling techniques is essential.
• Statistical Methods Knowledge: Strong foundation in common statistical testing methodologies, including generalized linear models, classification and regression, decision trees, unsupervised learning, time series analysis, and survival analysis.
• Big Data Handling: Proven experience processing large-scale data from multiple disparate data sources. Comfort working with complex, high-dimensional datasets common in healthcare analytics.
• Data Privacy Compliance: Experience handling protected patient health information (PHI) with strict adherence to HIPAA regulations and other privacy requirements. Familiarity with data anonymization and de-identification techniques is highly valued.
• Business Intelligence Tools: Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other business intelligence and visualization tools for dashboard development and reporting.

Preferred Qualifications & Additional Skills

Candidates with the following additional qualifications and skills will be particularly well-suited for this position:

• Healthcare Data Expertise: Proficiency in Electronic Medical Records (EMR)/Health IT systems, disease registries, and insurance claims databases. Understanding of healthcare data ecosystems and patient journey mapping.
• Clinical Data Standards: Familiarity with clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies, including ICD-9/ICD-10 and Read Codes.
• Regulatory Knowledge: Experience with Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials, including ISO standards, Medical Device Directive (MDD)/Medical Device Regulation (MDR), and Code of Federal Regulations (CFR) requirements.
• Alternative Data Sources: Experience working with alternative data sources and alternative 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. Experience with adaptive trial designs and innovative statistical approaches.
• Machine Learning Proficiency: Solid understanding of machine learning techniques and their application to healthcare data problems. Ability to stay current with emerging methodologies and continuously expand technical and non-technical skill sets.

Skills & Competencies for Success

Beyond technical qualifications, we seek candidates who demonstrate the following competencies and personal attributes:

• Analytical Thinking: Strong problem-solving abilities with the capacity to approach complex questions methodically and develop innovative solutions.


• Communication Skills: Excellent written and verbal communication skills, with the ability to translate complex technical findings into clear, actionable insights for diverse audiences including clinical, commercial, and executive stakeholders.


• Collaboration Mindset: Ability to work effectively in cross-functional teams and build productive relationships with colleagues across departments.


• Attention to Detail: Commitment to data quality and accuracy, ensuring rigorous and reliable outputs in all deliverables.


• Initiative and Self-Direction: Proactive approach to work with the ability to manage multiple projects and meet deadlines in a fast-paced environment.


• Continuous Learning: Dedication to ongoing professional development and staying current with evolving trends in healthcare analytics, RWE methodologies, and regulatory landscape.

Career Growth & Development Opportunities

At arenaflex, we are deeply invested in the professional development and career advancement of our team members. This position offers numerous opportunities for growth and learning:

• Skill Development: Access to comprehensive training programs, workshops, and certification opportunities in advanced analytics, healthcare data standards, and emerging methodologies.


• Career Progression: Clear advancement pathways within our Clinical Data Science organization, with opportunities to take on increased responsibilities, lead complex projects, or specialize in therapeutic areas of interest.


• Exposure to Industry Leaders: Work alongside renowned data scientists, epidemiologists, and clinical experts, gaining invaluable insights and mentorship from industry veterans.


• Cutting-Edge Projects: Engagement with diverse, high-impact projects spanning multiple therapeutic areas and addressing critical healthcare questions.


• Conference and Publication Opportunities: Support for presenting research at industry conferences and contributing to peer-reviewed publications.

Work Environment & Company Culture

arenaflex fosters a collaborative, inclusive, and intellectually stimulating work environment where innovation thrives. Our culture is built on several core values:

• Innovation: We encourage creative thinking and novel approaches to solving complex healthcare challenges.


• Integrity: We maintain the highest standards of scientific rigor, data quality, and ethical conduct in all our work.


• Collaboration: We believe the best insights emerge from diverse teams working together toward shared goals.


• Work-Life Balance: We support flexible work arrangements, including remote and hybrid options, to help our team members achieve balance in their professional and personal lives.


• Wellness Focus: As a healthcare-focused organization, we prioritize the health and well-being of our employees through comprehensive wellness programs and resources.

Compensation & Benefits

We are pleased to offer a competitive compensation package for this part-time position, including:

• Hourly Rate: $27/hour with flexible scheduling options


• Health Insurance: Comprehensive medical, dental, and vision coverage for eligible employees


• Retirement Plans: 401(k) retirement savings plan with employer matching contributions


• Paid Time Off: Generous paid time off for holidays, vacation, and sick leave


• Professional Development: Opportunities for training, certification, and career advancement


• Employee Assistance Program: Confidential counseling and support services for employees and their families


• Employee Discounts: Discounts on products and services


• Wellness Programs: Access to fitness challenges, health screenings, and wellness resources


• Flexible Scheduling: Adaptable work arrangements to meet individual needs

How to Apply

We invite qualified candidates who meet the essential qualifications to apply for this exciting opportunity to join the arenaflex team. This is your chance to contribute to meaningful research that impacts patient outcomes while advancing your career in healthcare data science.

Take the next step in your professional journey and apply today to become part of our mission to transform healthcare through data-driven insights. We look forward to welcoming a talented Data Scientist to our team and supporting your success at arenaflex.

arenaflex is an equal opportunity employer committed to diversity and inclusion. We encourage applications from all qualified individuals regardless of background, experience, or perspective.