Experienced Real-World Evidence Data Scientist – Clinical Research & Health Analytics (Part-Time Remote Opportunity)

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About arenaflex

Welcome to arenaflex, a leading innovator in healthcare data science and clinical research solutions. At arenaflex, we believe that the future of medicine lies in the powerful intersection of advanced analytics, real-world evidence, and cutting-edge technology. Our mission is to transform raw healthcare data into actionable insights that improve patient outcomes, accelerate drug development, and shape the future of personalized medicine.

As part of our growing Clinical Data Science division, we are seeking a talented and motivated Real-World Evidence (RWE) Data Scientist to join our dynamic team. This is a part-time remote position offering competitive compensation of $27/hour, providing flexibility while allowing you to make a meaningful impact on healthcare innovation.

At arenaflex, we pride ourselves on fostering a collaborative, inclusive, and intellectually stimulating environment where data scientists and researchers can thrive. Our team works at the forefront of pharmaceutical research, partnering with biopharmaceutical companies to deliver groundbreaking real-world insights that drive critical healthcare decisions.

Position Overview

We are looking for an Information Researcher - Real-World Evidence (RWE) who will be responsible for generating Real-World Evidence through advanced research and innovative methodologies in the clinical trials space. The ideal candidate will be a fundamental part of our Scientific Issues team, working to influence internal and external decision-making through the use of innovative data science and technology.

In this role, you will lead sophisticated data analysis projects to help address critical business questions facing our pharmaceutical partners. This position reports to the Chief of Clinical Data Science and offers an exciting opportunity to contribute to groundbreaking research that directly impacts patient care and treatment outcomes.

Key Responsibilities

As an RWE Data Scientist at arenaflex, you will be entrusted with a variety of impactful responsibilities that include:

• 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, helping to shape the overall analysis strategy for our research initiatives.
• 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. Potential projects include analysis of unmet needs, safety and efficacy of treatments in specific disease states, treatment patterns and healthcare economic burden, and cost-effectiveness modeling.
• Data Management: Clean, transform, and store data into a coordinated 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 methods to uncover patterns and correlations that inform clinical decision-making.
• Capability Development: Support the development of real-world data, analysis, and platform capabilities by applying advanced analytics and tools to address scientific inquiries from biopharmaceutical companies.
• Research Design: Collaborate on the design and execution of outcomes research studies, ensuring methodological rigor and scientific validity.
• Quality Assurance: Ensure high-quality, rigorous, and readily interpretable outputs from RWE reviews and investigations. You will be responsible for maintaining the highest standards of analytical excellence.
• Reporting and Visualization: Build dashboards, analyses, and reports for internal and external use, effectively communicating complex findings to diverse stakeholders.
• Vendor Assessment: Conduct due diligence on new real-world data providers and vendors, driving RWD quality assessments to inform investment decisions.

Essential Qualifications

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

• Educational Background: A Bachelor's degree in a relevant field such as Statistics, Biostatistics, Epidemiology, Data Science, Public Health, or a related quantitative discipline is required.
• Programming Experience: A minimum of 2 years of experience with programming languages such as R, Python, or SQL is essential. Proficiency in at least one of these languages is required to perform advanced data manipulation and analysis.
• Statistical Methodology: Experience in designing and executing robust and reproducible statistical studies in the context of epidemiology and observational research with healthcare data. This includes familiarity with study design, confounding control, and bias mitigation strategies.
• Statistical Techniques: 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 comfortable applying these techniques to real-world healthcare datasets.
• Large Data Handling: Experience processing large datasets from multiple data sources. You should be comfortable working with big data technologies and understanding data pipeline architectures.
• Data Privacy Compliance: Experience handling protected patient health information (PHI) with strict adherence to HIPAA regulations and other privacy requirements. A strong understanding of data governance and compliance is essential.
• Business Intelligence Tools: Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI visualization tools. Experience creating compelling data visualizations and interactive dashboards is highly valued.

Preferred Qualifications

While not required, the following qualifications would give candidates a competitive edge:

• Healthcare Data Expertise: Proficiency in EMR/Health IT systems, disease registries, and insurance claims databases. Familiarity with electronic health record systems and healthcare data workflows is highly desirable.
• Clinical Data Standards: Expertise in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies, including ICD-9/10 and ReadCode. Understanding of HL7, FHIR, and other healthcare interoperability standards is a plus.
• Regulatory Knowledge: Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials, including ISO standards, MDD/MDR, and CFR (Code of Federal Regulations) requirements.
• Alternative Data Sources: Experience with alternative data sources and alternative methods for clinical data collection, especially those enabled by technology platforms and/or solutions. This includes experience with wearable devices, patient-generated health data, and digital health technologies.
• Advanced Methodologies: Experience with trial design, Bayesian modeling, sequential data analysis, and computational statistics. Familiarity with adaptive trial designs and innovative statistical approaches is valued.
• Machine Learning Proficiency: Understanding of statistics and machine learning techniques, with the ability to continuously self-learn both technical and non-technical skills. A growth mindset and passion for staying current with emerging methodologies is essential.

Skills and Competencies

Beyond formal qualifications, we are seeking candidates who demonstrate:

• Analytical Thinking: Strong problem-solving skills and the ability to approach complex questions with analytical rigor and creativity.
• Communication Skills: Excellent written and verbal communication skills, with the ability to translate technical findings into actionable insights for non-technical stakeholders.
• Attention to Detail: Meticulous attention to data quality and accuracy, ensuring that all analyses meet the highest standards of precision.
• Team Collaboration: Ability to work effectively in cross-functional teams and build strong relationships with colleagues across departments.
• Time Management: Strong organizational skills with the ability to manage multiple projects simultaneously and meet tight deadlines.
• Initiative and Innovation: Proactive approach to identifying opportunities for improvement and implementing innovative solutions.

Career Growth and Learning Opportunities

At arenaflex, we are committed to the professional development and career growth of our team members. As part of our organization, you will have access to:

• Advanced Training Programs: Opportunities to enhance your technical skills through training in cutting-edge analytics tools, machine learning platforms, and healthcare data methodologies.
• Career Advancement Pathways: Clear pathways for career progression within the data science and clinical research domains, with the potential to advance to senior analytical roles or team leadership positions.
• Industry Exposure: Exposure to diverse projects across multiple therapeutic areas and collaboration with leading biopharmaceutical companies.
• Conference and Publication Opportunities: Support for attending relevant industry conferences, workshops, and the potential to contribute to peer-reviewed publications.
• Mentorship Programs: Access to experienced mentors who can guide your professional development and help you achieve your career goals.

Work Environment and Culture

arenaflex offers a supportive and inclusive work environment that values diversity, innovation, and collaboration. Our culture is built on trust, respect, and a shared commitment to improving healthcare through data-driven insights.

As a part-time remote position, this role offers flexibility and work-life balance while maintaining connection with our team through virtual collaboration tools and regular communication. We believe in empowering our employees to work in ways that best support their productivity and well-being.

Our team is passionate about making a difference in healthcare, and we foster an environment where new ideas are welcomed, and innovation is celebrated. You will have the opportunity to work with talented colleagues who share your commitment to advancing medical science and improving patient outcomes.

Compensation and Benefits

We recognize that our employees are our most valuable asset, and we are committed to providing competitive compensation and comprehensive benefits:

• Competitive Hourly Rate: $27/hour for this part-time position, with the potential for performance-based adjustments.
• Flexible Work Schedule: Part-time hours with flexible scheduling to accommodate your work-life balance needs.
• Remote Work: Fully remote position allowing you to work from the comfort of your home office.
• Health and Wellness: Access to comprehensive health, dental, and vision insurance for eligible employees and their families.
• Paid Time Off: Generous paid time off policies including holidays, vacation, and sick leave.
• Retirement Savings: Access to retirement savings plans with potential employer matching contributions.
• Professional Development: Continuous learning opportunities through training programs, workshops, and certification support.
• Employee Assistance Program: Confidential counseling and support services for employees and their families.
• Employee Discounts: Discounts on products and services offered by arenaflex.
• Wellness Programs: Access to wellness resources and programs designed to support your physical and mental well-being.

Join Our Team

Are you ready to make a meaningful impact in healthcare through data science? At arenaflex, you will have the opportunity to work on challenging projects that matter, collaborate with brilliant minds, and contribute to innovations that improve lives around the world.

We are seeking a candidate who is passionate about leveraging data to drive healthcare insights and who thrives in a collaborative, fast-paced environment. If you have the skills and qualifications we are looking for, we encourage you to apply and become part of our mission to transform healthcare through the power of real-world evidence.

Take the next step in your career and join the arenaflex team today!

Note: This position is part-time with flexible hours. The compensation stated is for the advertised role and may be subject to change based on experience and qualifications.