Join arenaflex as a Real World Evidence Information Researcher
Are you passionate about transforming healthcare through data-driven insights? Do you thrive on uncovering meaningful patterns in complex datasets that can shape the future of medical treatments? arenaflex is seeking a talented and motivated Real World Evidence (RWE) Information Researcher to join our dynamic Clinical Data Science team. This is a remarkable opportunity to leverage your analytical expertise while making a tangible impact on patient outcomes and healthcare decision-making across the biopharmaceutical industry.
At arenaflex, we believe that data holds the key to unlocking better treatments, improving patient care, and driving innovation in healthcare. As part of our Logical Issues group, you will be at the forefront of generating Real World Evidence through cutting-edge research and innovative methodologies in the clinical trials space. Your work will directly influence both internal and external decision-making through the use of creative data science and technology. This is not just a job – it's a chance to be part of something bigger, to contribute to meaningful research that affects millions of lives worldwide.
What You'll Do
As an Information Researcher – RWE at arenaflex, you will play a crucial role in our mission to advance healthcare through evidence-based insights. Your primary responsibilities will include:
- Data Mining and Analysis: Mine raw datasets to deliver normalized, analysis-ready patient cohorts from in-house data assets or licensed platforms, analyze and interpret results, and help shape analysis strategy. You will work with diverse data sources to extract meaningful insights that drive actionable conclusions.
- 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 to support biopharmaceutical RWE and clinical trial requests. This includes analyzing unmet needs, safety and efficacy of treatments in specific disease states, treatment patterns, and healthcare economic burden.
- Data Management: Clean, transform, and store data into a structured data lake for future analysis and broader team utilization. You will ensure data integrity 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. You will apply advanced statistical techniques to uncover hidden patterns and correlations.
- Capability Development: Support the development of real-world data, analysis, and platform capabilities by applying advanced analytics and tools to answer scientific questions from biopharmaceutical organizations.
- Research Collaboration: Collaborate on the design and execution of outcomes research studies, working closely with cross-functional teams to ensure research quality and relevance.
- Quality Assurance: Ensure high-quality, rigorous, and readily interpretable outputs from RWE studies and investigations. Your attention to detail will be critical in maintaining the credibility and reliability of our research.
- Reporting and Visualization: Build dashboards, analyses, and reports for both internal and external use, effectively communicating complex findings to diverse audiences.
- Vendor Evaluation: Conduct due diligence on new real-world data providers and vendors, and drive RWD quality assessments to inform investment decisions.
What We're Looking For
Essential Qualifications
To succeed in this role, you will need:
- Statistical Expertise: Experience designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data. You should be comfortable with various statistical methodologies and their appropriate applications.
- Statistical Techniques Proficiency: Knowledge of common statistical testing methods including generalized linear models, classification and regression, decision trees, unsupervised learning, time series analysis, and survival analysis. You should be able to select and apply the right analytical approach for each research question.
- Large Data Handling: Experience processing large datasets from multiple data sources. You should be comfortable working with big data technologies and understanding data scalability considerations.
- Data Privacy Compliance: Experience handling protected patient health information with the utmost care and compliance with relevant regulations.
- Business Intelligence Tools: Knowledge of at least one of the following: SAS, Power BI, Alteryx, Spotfire, or other BI insight tools. Proficiency in data visualization and reporting tools is essential for effectively communicating your findings.
- Educational Background: A Bachelor's degree in a relevant field such as statistics, biostatistics, computer science, mathematics, or a related discipline is required.
Preferred Qualifications
While not required, the following qualifications would give you an edge:
- Advanced Degree: PhD or Master's degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related field.
- Healthcare Data Expertise: Proficiency in EMR/Health IT, disease registries, and insurance claims databases. Familiarity with the healthcare data landscape is highly valued.
- Clinical Data Standards: Expertise in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD-9/10/ReadCode).
- Regulatory Experience: Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR).
- Innovative Data Collection: Experience working on alternative data sources and alternative methods for clinical data collection, especially those enabled by technology platforms and solutions.
- Advanced Analytics: Experience with experimental design, Bayesian modeling, sequential data, and computational statistics.
- Machine Learning: Understanding of statistics and machine learning methods, with the ability to continuously self-learn both technical and non-technical skills.
Why arenaflex?
At arenaflex, we pride ourselves on fostering a culture of innovation, collaboration, and continuous learning. When you join our team, you become part of a community that values excellence, integrity, and the transformative power of data science in healthcare.
Professional Growth and Development
We invest in our people because they are our greatest asset. As an Information Researcher at arenaflex, you will have access to:
- Comprehensive onboarding and training programs designed to help you succeed from day one.
- Continuous learning opportunities through workshops, seminars, and conferences.
- Mentorship from industry experts who are passionate about sharing their knowledge.
- Clear career progression pathways that allow you to grow both technically and leadership-wise.
- Exposure to a wide range of therapeutic areas and cutting-edge research projects.
Work-Life Balance and Flexibility
We understand that great work happens when you have balance in your life. arenaflex offers:
- Flexible work arrangements to accommodate your lifestyle.
- Competitive compensation packages that recognize your expertise and contributions.
- Comprehensive health, dental, and vision insurance benefits.
- Retirement savings plans with employer contributions.
- Generous paid time off and holiday schedules.
- Wellness programs and resources to support your physical and mental well-being.
Our Collaborative Environment
arenaflex is more than a workplace – it's a community of dedicated professionals who share a common goal of improving healthcare outcomes through data-driven insights. You'll work alongside talented colleagues from diverse backgrounds, all united by a passion for making a difference. Our collaborative approach ensures that every voice is heard, and every idea has the potential to shape the future of healthcare.
Compensation and Benefits
We offer a competitive salary range of $20-30 per hour, commensurate with experience and qualifications. In addition to your base compensation, arenaflex provides a comprehensive benefits package that includes health insurance, retirement plans, professional development opportunities, and more. We believe in recognizing and rewarding exceptional performance and contributions.
Ready to Make an Impact?
If you're ready to take the next step in your career and contribute to groundbreaking research that has the potential to transform patient care, we want to hear from you. Join arenaflex and become part of a team that is passionate about using data science to solve some of healthcare's most complex challenges.
At arenaflex, your skills, your ideas, and your dedication will matter. You'll have the opportunity to work on meaningful projects, collaborate with brilliant minds, and make a real difference in the world of healthcare. We are looking for someone who is not just qualified, but genuinely excited about the opportunity to impact internal and external decision-making through innovative data science and technology.
Don't miss this chance to grow your career with a leader in real-world evidence and clinical data science. Apply now and become part of the arenaflex family – where data meets dedication, and innovation meets impact.
Apply today and start your journey with arenaflex!