**Experienced Real World Evidence Data Scientist – Clinical Research & Healthcare Analytics (Part-Time)**

• --

About arenaflex

Arenaflex is a forward-thinking healthcare analytics company dedicated to transforming raw clinical data into actionable insights that shape the future of patient care. As a leader in real-world evidence (RWE) generation, we partner with biopharmaceutical companies, healthcare providers, and research institutions to deliver cutting-edge analytical solutions that accelerate drug development, improve treatment outcomes, and inform healthcare policy decisions.

At arenaflex, we believe that data holds the key to solving some of healthcare's most complex challenges. Our team of world-class data scientists, epidemiologists, and clinical research experts work collaboratively to unlock the power of real-world data (RWD), turning vast quantities of information into meaningful discoveries that can save lives. We pride ourselves on fostering an environment where innovation thrives, diverse perspectives are valued, and every team member has the opportunity to make a significant impact on global health outcomes.

Join our Dynamic Clinical Data Science team and become part of a mission-driven organization that is redefining what's possible in healthcare analytics. This part-time position offers flexibility, competitive compensation, and the chance to contribute to groundbreaking research that makes a real difference in patients' lives.

Position Overview: Real World Evidence Data Scientist

We are currently seeking a talented and motivated Real World Evidence (RWE) Data Scientist to join our Clinical Data Science division on a part-time basis. In this critical role, you will be responsible for generating robust real-world evidence through advanced analytical research and innovative methodologies within the clinical trials space. You will serve as an integral member of our Scientific Solutions team, leveraging your expertise in data science and technology to influence both internal and external decision-making processes.

The ideal candidate will possess a unique blend of technical proficiency, healthcare domain knowledge, and strategic thinking capabilities. You will lead sophisticated data analysis initiatives designed to address fundamental business questions and provide actionable insights that drive organizational success. This position reports directly to the Executive Director of Clinical Data Science and offers significant opportunities for professional growth and skill development.

Key Responsibilities

• Data Extraction and Preparation: Mine raw datasets to deliver normalized, analysis-ready patient cohorts from internal data assets or licensed platforms. You will analyze and interpret complex results, ultimately shaping our overall analysis strategy and ensuring data integrity throughout the research process.
• Cross-Functional Collaboration: Partner effectively with various members of the arenaflex Clinical Trial team to deliver meaningful insights from real-world, clinical, and other data sources. Your contributions will support biopharmaceutical RWE and clinical trial requests, including research on unmet medical needs, safety and efficacy profiles in specific disease states, treatment patterns, healthcare economic burden, and cost-effectiveness modeling.
• Data Management and Architecture: Clean, transform, and store data into a structured data lake environment, ensuring accessibility and usability for future analysis projects and broader team utilization. You will establish best practices for data governance and documentation.
• Statistical Analysis and Mining: Perform comprehensive data mining and statistical analysis to examine RWE/real-world data (RWD), discovering new insights regarding patient populations and treatment outcomes. You will apply advanced statistical methodologies to identify trends, patterns, and correlations that inform clinical decision-making.
• 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 company clients, continuously expanding our methodological toolkit.
• Research Study Execution: Collaborate on the design and execution of outcomes research studies, ensuring methodological rigor and scientific validity. You will contribute to study protocols, statistical analysis plans, and final reporting deliverables.
• Quality Assurance and Interpretation: Ensure high-quality, rigorous, and readily interpretable outputs from RWE reviews and analyses. Implement quality control measures and validation procedures to maintain the highest standards of scientific excellence.
• Reporting and Visualization: Build dynamic dashboards, analyses, and comprehensive reports for both internal and external stakeholders. Translate complex analytical findings into clear, compelling visual narratives that drive informed decision-making.
• Vendor Evaluation and Quality Assessment: Conduct due diligence on new real-world data provider vendors and drive RWD quality assessments to inform project decisions. You will evaluate potential data sources for reliability, completeness, and applicability to specific research questions.

Essential Qualifications and Requirements

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

• Educational Background: Bachelor's degree in a relevant field such as Statistics, Biostatistics, Epidemiology, Data Science, Public Health, Computer Science, or a related quantitative discipline. Advanced degrees are strongly preferred but not required.
• Programming Expertise: Minimum of 2 years of hands-on experience with statistical programming languages, specifically R, Python, or SQL. Proficiency in at least one of these languages is required, with demonstrated ability to write efficient, production-quality code.
• Statistical Methodology: Demonstrated experience in designing and executing robust, reproducible statistical analyses within the context of epidemiology and observational research using healthcare data. 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 datasets from multiple data sources. Familiarity with distributed computing frameworks and cloud-based data platforms is highly desirable.
• Healthcare Data Compliance: Experience handling protected patient health information (PHI) with strict adherence to privacy regulations, including HIPAA compliance requirements. Demonstrated understanding of data security best practices in healthcare settings.
• Business Intelligence Tools: Working knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other business intelligence and visualization platforms. Ability to create compelling data visualizations that communicate complex findings effectively.
• Communication Skills: Excellent written and verbal communication skills, with the ability to translate technical concepts for non-technical audiences. Experience preparing scientific reports, presentations, and regulatory documentation is essential.
• Analytical Thinking: Strong problem-solving abilities and attention to detail. Capacity to approach complex research questions with creativity and methodological rigor.

Preferred Qualifications and Attributes

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

• Healthcare Data Systems: Expertise in Electronic Medical Records (EMR)/Health IT systems, disease registries, and insurance claims databases. Familiarity with major EHR platforms and claims data structures is highly valued.
• Clinical Terminologies: Proficiency in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies, including ICD-9/10 and Read Codes. Understanding of SNOMED CT, LOINC, and other standard medical coding systems is advantageous.
• Regulatory Compliance: 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/Regulation (MDD/MDR), and Code of Federal Regulations (CFR) requirements.
• Alternative Data Sources: Experience working with alternative data sources and novel methodologies for clinical data collection, particularly those enabled by technology platforms and digital health solutions. Familiarity with patient-generated health data, wearable device data, or social determinants of health data is a plus.
• Advanced Statistical Methods: Experience with clinical trial design, Bayesian statistical modeling, sequential analysis methods, and computational statistics. Knowledge of adaptive trial designs and innovative study methodologies is desirable.
• Machine Learning Proficiency: Solid understanding of machine learning techniques and their application to healthcare data science problems. Ability to evaluate model performance, address bias and confounding, and implement appropriate validation strategies.
• Continuous Learning: Demonstrated commitment to ongoing professional development and self-directed learning of both technical and non-technical skills. The healthcare analytics field evolves rapidly, and we value candidates who stay current with emerging methodologies and technologies.

Work Environment and Culture at arenaflex

At arenaflex, we are committed to creating an inclusive, collaborative, and intellectually stimulating work environment that supports both personal and professional growth. Our culture is built on several core values that guide everything we do:

• Innovation First: We encourage creative thinking and novel approaches to solving complex healthcare challenges. Team members are empowered to explore new methodologies, suggest improvements, and challenge conventional approaches.
• Collaboration and Teamwork: We believe that the best solutions emerge from diverse perspectives working together. Our cross-functional teams combine expertise from multiple domains to deliver comprehensive solutions to our clients.
• Work-Life Balance: We understand the importance of balancing professional responsibilities with personal well-being. This part-time position offers flexible scheduling and remote work options to accommodate your lifestyle needs.
• Continuous Learning: We invest in our team's development through ongoing training opportunities, conference attendance support, and access to cutting-edge tools and technologies.
• Impact-Driven Work: Every project at arenaflex contributes to improving patient outcomes and advancing healthcare knowledge. Our team members take pride in knowing their work makes a meaningful difference in people's lives.

Compensation and Benefits

We offer competitive compensation and a comprehensive benefits package designed to support our team members' well-being and financial security:

• Hourly Rate: $27 per hour, commensurate with experience and qualifications


• Flexible Scheduling: Part-time position with flexible hours and remote work options


• Professional Development: Access to training programs, certification support, and conference attendance opportunities


• Health and Wellness: Comprehensive health insurance coverage (for qualifying positions)


• Retirement Benefits: 401(k) retirement plan with company matching


• Paid Time Off: Generous PTO policy including vacation, sick leave, and holidays


• Equipment Support: Company-provided laptop and necessary software licenses


• Remote Work Stipend: Monthly allowance for home office expenses and internet connectivity

Career Growth Opportunities

Joining arenaflex as a Real World Evidence Data Scientist opens doors to extensive career advancement possibilities within the rapidly growing field of healthcare analytics. As you develop your skills and demonstrate your value, you will have opportunities to:

• Progress into senior analytical roles with increased responsibilities and leadership opportunities


• Specialize in specific therapeutic areas or analytical methodologies based on your interests and expertise


• Transition into client-facing positions that involve strategic consulting and business development


• Move into people management roles, leading and mentoring junior data scientists


• Contribute to thought leadership through publications, conference presentations, and industry collaborations


• Explore roles in emerging areas such as artificial intelligence and machine learning applications in healthcare

How to Apply

We invite qualified candidates who are passionate about leveraging data science to improve healthcare outcomes to apply for this exciting opportunity. If you meet the qualifications and are excited about contributing to our mission, we would love to hear from you.

To apply, please submit your updated resume, a compelling cover letter detailing your relevant experience and interest in the position, and any portfolio or code samples that showcase your analytical capabilities. Our hiring team will carefully review all applications and reach out to qualified candidates for further consideration.

At arenaflex, we are dedicated to building a diverse and inclusive workforce. We welcome applicants from all backgrounds and experiences, and we are committed to providing equal employment opportunities. Join us in our mission to transform healthcare through the power of data and analytics!