Information Researcher – Real World Evidence (RWE) Data Scientist | Clinical Analytics & Healthcare Data Analysis Professional

Join arenaflex as an Information Researcher – Real World Evidence (RWE)

Are you passionate about transforming healthcare through the power of data? Do you thrive on uncovering insights that can reshape clinical research and improve patient outcomes? arenaflex is seeking a talented and motivated Information Researcher – Real World Evidence (RWE) to join our Clinical Data Science team and help drive innovation in the rapidly evolving field of real-world evidence generation.

At arenaflex, we believe that data holds the key to solving some of healthcare's most pressing challenges. As an Information Researcher specializing in Real World Evidence, you will play a pivotal role in bridging the gap between raw healthcare data and actionable insights that inform clinical decision-making, drug development strategies, and patient care protocols. This is a unique opportunity to contribute to groundbreaking research that impacts millions of lives while advancing your career in a collaborative, cutting-edge environment.

About arenaflex

arenaflex is a forward-thinking organization committed to leveraging advanced analytics and innovative technologies to transform healthcare outcomes. We partner with biopharmaceutical companies, healthcare providers, and research institutions to generate robust real-world evidence that supports regulatory decisions, clinical trial design, and post-market surveillance. Our team comprises dedicated professionals who share a common goal: to harness the power of data science to improve health outcomes globally.

When you join arenaflex, you become part of a dynamic culture that values curiosity, collaboration, and continuous learning. We invest in our employees' growth and provide opportunities to work on diverse projects that challenge your skills and expand your expertise. Whether you're an experienced data scientist or a rising professional eager to make your mark, arenaflex offers a supportive environment where your contributions truly matter.

Position Overview

As an Information Researcher – Real World Evidence at arenaflex, you will be responsible for generating high-quality real-world evidence through advanced analytical methods and innovative approaches in the clinical research space. You will serve as a critical member of our Scientific Issues team, working closely with cross-functional stakeholders to address complex business questions through sophisticated data analysis.

This role reports to the Executive Director of Clinical Data Science and offers the opportunity to collaborate with internal teams as well as external partners in the biopharmaceutical industry. You will have the chance to work on diverse projects ranging from analyzing unmet medical needs and treatment patterns to healthcare economic burden assessments and cost-effectiveness modeling.

Key Responsibilities

As an Information Researcher – RWE at arenaflex, you will be entrusted with a variety of responsibilities that leverage your expertise in data science and healthcare analytics:

• Data Mining and Preparation: Extract and transform raw datasets from internal data resources and licensed platforms to deliver standardized, analysis-ready patient cohorts. You will clean, transform, and store data into a structured data lake environment, ensuring accessibility for future analyses and broader team utilization.
• Statistical Analysis and Interpretation: Conduct advanced statistical analyses to interpret results and help shape overall research strategy. Apply sophisticated analytical techniques to uncover patterns, trends, and correlations within complex healthcare datasets.
• 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. Collaborate on requests from biopharmaceutical clients seeking real-world evidence and clinical trial support.
• Research Project Involvement: Contribute to projects analyzing unmet treatment needs, safety and efficacy profiles in specific disease states, treatment patterns, healthcare economic burden, and cost-effectiveness modeling. Your work will directly inform pharmaceutical development decisions and market access strategies.
• Real-World Data Quality Assessment: Conduct due diligence on new real-world data providers and vendors. Drive RWD quality assessments to inform investment decisions and ensure the highest standards of data integrity.
• Insights Generation: Perform data mining and statistical analysis on RWE/RWD to discover new insights regarding patient populations and treatment outcomes. Translate complex findings into clear, actionable recommendations for internal and external stakeholders.
• Study Design and Execution: Collaborate on the design and execution of outcomes research studies. Apply rigorous methodological approaches to ensure study validity and reliability.
• Reporting and Visualization: Build dashboards, analyses, and reports for both internal and external use. Create compelling visualizations that effectively communicate complex findings to diverse audiences, including regulatory bodies and pharmaceutical clients.
• Capability Development: Support the development of real-world data, analytics, and platform capabilities. Apply advanced analytical tools and techniques to address scientific inquiries from biopharmaceutical organizations.
• Quality Assurance: Ensure high-quality, rigorous, and readily interpretable outputs from RWE reviews and investigations. Maintain rigorous standards for reproducibility and transparency in all analytical work.

Essential Qualifications

To succeed in this role, you must possess a strong foundation in statistical analysis and healthcare data research:

• Educational Background: Bachelor's degree in statistics, biostatistics, data science, public health, or a related field is required. Advanced degrees are strongly preferred.
• Statistical Expertise: Demonstrated experience designing and executing robust and reproducible statistical investigations in the context of epidemiology and observational research with healthcare data. Strong command of common statistical testing techniques including generalized linear models, classification and regression, decision trees, unsupervised learning, time series analysis, and survival analysis.
• Data Handling Experience: Proven experience processing large datasets from multiple data sources. Familiarity with data pipeline development, ETL processes, and data warehousing concepts.
• Healthcare Data Knowledge: Experience handling protected patient health information (PHI) with a strong understanding of HIPAA compliance and data privacy requirements.
• Analytics Tools Proficiency: Proficiency in at least one of the following: SAS, Power BI, Alteryx, Spotfire, or other business intelligence and visualization tools.
• Communication Skills: Excellent written and verbal communication skills, with the ability to translate complex technical findings into clear, actionable insights for non-technical stakeholders.
• Problem-Solving Abilities: Strong analytical and problem-solving skills with the ability to approach challenges creatively and develop innovative solutions.

Preferred Qualifications

While not required, the following qualifications will give you a competitive edge:

• Advanced Degree: PhD, Master's degree, or Graduate certificate in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related quantitative field.
• Healthcare Data Expertise: Proficiency in EMR/Electronic Health IT systems, disease registries, and insurance claims databases. Familiarity with clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD-9/10/ReadCode).
• Regulatory Knowledge: Experience with Good Clinical Practice (GCP) and regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR).
• Innovative Data Sources: Experience working with alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology platforms and mobile health solutions.
• Advanced Statistical Methods: Knowledge of experimental design, Bayesian modeling, sequential analysis, and computational statistics.
• Machine Learning Proficiency: Understanding of machine learning techniques with the ability to continuously self-learn both technical and non-technical skills.
• Industry Experience: Previous experience in the pharmaceutical, biotechnology, or healthcare analytics industry is highly desirable.

Skills and Competencies

Beyond formal qualifications, we are seeking candidates who demonstrate:

• Scientific Curiosity: A genuine desire to impact internal and external decision-making through innovative data science and technology applications.
• Attention to Detail: Meticulous approach to data quality and analysis, ensuring accuracy and reproducibility in all deliverables.
• Team Player: Ability to collaborate effectively with cross-functional teams and external partners.
• Time Management: Strong organizational skills with the ability to manage multiple projects and meet deadlines in a fast-paced environment.
• Adaptability: Willingness to learn new tools, techniques, and methodologies as the field evolves.
• Client Focus: Understanding of client needs and commitment to delivering exceptional service.

Career Growth and Learning Opportunities

At arenaflex, we are committed to your professional development. As an Information Researcher – RWE, you will have access to:

• Continuous Learning: Comprehensive training programs, workshops, and certification opportunities in cutting-edge analytical tools and methodologies.
• Career Advancement: Clear progression pathways to senior analytical roles, team leadership positions, and specialized research tracks.
• Industry Exposure: Opportunities to work with leading biopharmaceutical companies and gain insights into drug development and market access strategies.
• Conference Participation: Support for attending and presenting at industry conferences, workshops, and professional development events.
• Mentorship Programs: Access to experienced mentors who can guide your career development and help you achieve your professional goals.
• Technical Certifications: Sponsorship for obtaining relevant certifications in analytics platforms, cloud technologies, and healthcare data standards.

Work Environment and Culture

arenaflex offers a dynamic and inclusive work environment that fosters innovation and collaboration. Here's what you can expect:

• Flexible Work Arrangements: We support flexible work schedules and remote work options to help you maintain work-life balance.
• Collaborative Culture: Work alongside talented professionals who share your passion for data-driven healthcare innovation.
• Cutting-Edge Technology: Access to state-of-the-art analytical tools, computing resources, and data platforms.
• Inclusive Environment: A diverse and welcoming workplace where different perspectives are valued and celebrated.
• Employee Wellness: Comprehensive wellness programs including health benefits, mental health resources, and fitness support.
• Community Engagement: Opportunities to participate in outreach programs and give back to the communities we serve.

Compensation and Benefits

arenaflex offers a competitive compensation package that recognizes your skills and contributions:

• Salary Range: $20-30 per hour, commensurate with experience and qualifications.
• Health Benefits: Comprehensive medical, dental, and vision insurance coverage.
• Retirement Plans: 401(k) retirement savings plan with company matching.
• Paid Time Off: Generous paid vacation, sick leave, and holidays.
• Professional Development: Annual learning and development budget for courses, certifications, and conferences.
• Performance Bonuses: Annual performance-based bonuses and incentives.
• Employee Assistance Program: Confidential support services for personal and professional challenges.

Location

This position is based in North Carolina, USA. arenaflex offers flexible work arrangements, including remote work options for qualified candidates. We maintain collaborative office spaces for team meetings, training sessions, and client engagements while supporting hybrid and fully remote work models.

How to Apply

Are you ready to make an impact in healthcare through data-driven innovation? We invite you to join arenaflex and contribute to meaningful research that improves patient outcomes worldwide.

To apply for this position, please submit your resume, cover letter, and any relevant supporting documentation through our online application portal. Include a detailed description of your experience with real-world evidence generation, statistical analysis, and healthcare data research.

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.

We encourage candidates with a genuine passion for leveraging data science to improve healthcare outcomes to apply. If you have questions about this position or want to learn more about opportunities at arenaflex, please visit our careers page or contact our recruitment team.

Apply now and take the first step toward a rewarding career with arenaflex, where your analytical skills can transform healthcare and make a real difference in people's lives.