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

About the Opportunity

Are you passionate about transforming healthcare through data-driven insights? Join arenaflex as a Real World Evidence Data Scientist and play a pivotal role in advancing clinical research through innovative data science methodologies. In this exciting part-time position, you will leverage your analytical expertise to generate meaningful Real World Evidence (RWE) that influences both internal and external decision-making in the pharmaceutical and healthcare space. This is a unique opportunity to work with a forward-thinking organization that values data-driven innovation and is committed to improving patient outcomes through rigorous scientific research.

At arenaflex, we recognize that the future of healthcare depends on our ability to harness the power of complex data streams and translate them into actionable insights. As part of our Clinical Data Science team, you will be at the forefront of this transformation, working alongside talented professionals to address critical business questions through sophisticated data analysis. This role offers meaningful work, competitive compensation, and the flexibility of a part-time schedule designed to support work-life balance.

What You Will Do

As a Real World Evidence Data Scientist at arenaflex, you will be responsible for mining, analyzing, and interpreting complex healthcare data to deliver normalized, analysis-ready datasets. Your work will directly contribute to shaping research strategies and informing critical business decisions across the organization. You will collaborate closely with cross-functional teams to extract valuable insights from real-world clinical and healthcare data sources, supporting biopharmaceutical RWE initiatives and clinical trial requests.

Key Responsibilities

• Data Mining and Analysis: Extract and process raw data from in-house sources and authorized platforms to create standardized, research-ready patient datasets. Analyze and interpret results to identify patterns, trends, and correlations that inform research direction.
• Cross-Functional Collaboration: Partner with clinical trial teams and other stakeholders to deliver actionable insights from real-world, clinical, and diverse data sources. Support analyses exploring unmet needs, safety and efficacy in specific disease states, treatment patterns, healthcare economic burden, and cost-effectiveness modeling.
• Data Transformation: Clean, transform, and store data into organized data lakes for future analysis and broader team utilization. Ensure data integrity, consistency, and accessibility across the organization.
• Statistical Analysis: Perform data mining and statistical analysis on RWE/Real World Data (RWD) to discover new insights regarding patient populations and treatment outcomes. Apply advanced statistical methodologies to address complex research questions.
• Research Support: Support the development of real data, analysis, and platform capabilities. Apply advanced analytics and tools to resolve scientific inquiries from biopharmaceutical organizations seeking to understand patient outcomes.
• Study Design: Collaborate on the design and execution of outcomes research studies. Ensure studies are methodologically sound, ethically conducted, and aligned with regulatory requirements.
• Quality Assurance: Deliver high-quality, thorough, and readily interpretable findings from RWE reviews and analyses. Maintain rigorous standards for data accuracy and interpretive clarity.
• Reporting and Visualization: Build dashboards, analyses, and reports for both internal and external stakeholders. Present findings in clear, compelling formats that drive informed decision-making.
• Vendor Evaluation: Conduct due diligence on new real-world data suppliers and vendors. Drive RWD quality evaluations to inform enterprise decisions and ensure data reliability.

What You Bring

We are seeking a candidate with a strong foundation in data science and healthcare analytics. The ideal candidate will have demonstrated experience working with complex healthcare datasets and a passion for applying statistical methodologies to address real-world clinical questions.

Essential Qualifications

• Educational Background: Bachelor's degree in a relevant field such as Statistics, Biostatistics, Data Science, Public Health, Epidemiology, or a related quantitative discipline.
• Technical Skills: Minimum 2 years of hands-on experience with programming languages such as R, Python, or SQL. Proficiency in at least one of these languages is required, with demonstrated ability to write efficient, reproducible code.
• Statistical Expertise: Experience designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research using healthcare data. Familiarity with common statistical testing methodologies including generalized linear models, classification and regression, decision trees, unsupervised learning, time series analysis, and survival analysis.
• Data Handling: Proven experience processing large datasets from diverse data sources. Ability to work with complex data structures and transform raw data into analysis-ready formats.
• Healthcare Data Privacy: Knowledge of and experience handling protected patient health information (PHI) with strict adherence to privacy regulations and organizational policies.
• Business Intelligence Tools: Familiarity with at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other business intelligence and visualization tools.

Preferred Qualifications

• Healthcare Data Systems: Proficiency in EMR/Health IT systems, disease registries, and insurance claims databases. Understanding of healthcare data ecosystems and patient journey mapping.
• Clinical Terminologies: Knowledge of clinical data standards, clinical phrasing, and controlled vocabularies used in healthcare data and ontologies, including ICD-9/ICD-10 and ReadCode.
• Regulatory Experience: Experience with Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials, such as ISO standards, MDD/MDR, or CFR requirements.
• Alternative Data Sources: Experience handling alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology platforms and digital solutions.
• Advanced Analytics: Experience with trial design, Bayesian modeling, sequential analysis, and computational statistics. Understanding of advanced statistical methodologies and their practical applications.
• Machine Learning: Understanding of machine learning techniques and the ability to continuously self-learn and develop both technical and non-technical skills in a rapidly evolving field.

Skills and Competencies for Success

Beyond technical qualifications, we seek candidates who demonstrate strong analytical thinking and problem-solving abilities. You should be comfortable working with ambiguity and be able to translate complex data findings into clear, actionable recommendations. Excellent communication skills are essential, as you will be presenting findings to both technical and non-technical stakeholders regularly.

• Strong analytical mindset with attention to detail and accuracy
• Excellent written and verbal communication skills
• Ability to work independently and as part of a collaborative team
• Strong project management and organizational skills
• Ability to prioritize multiple projects and meet tight deadlines
• Proactive approach to identifying问题和解决方案
• Commitment to continuous learning and professional development

Career Growth and Development

At arenaflex, we believe in investing in our employees' growth and development. This part-time position offers valuable experience in healthcare data science and Real World Evidence research, providing a strong foundation for career advancement in the pharmaceutical, biotechnology, and healthcare industries. You will have opportunities to work on diverse projects, collaborate with experts across different functional areas, and develop specialized expertise in RWE analytics.

Through your work at arenaflex, you will gain exposure to cutting-edge data science methodologies and healthcare analytics tools. The skills and experience you develop in this role will position you for future opportunities in senior analytical roles, team leadership positions, or specialized consulting work within the healthcare sector. We support professional development through training programs, skills development initiatives, and clear advancement pathways for dedicated team members.

Work Environment and Culture

Joining arenaflex means becoming part of a dynamic team committed to transforming healthcare through data-driven innovation. We foster a collaborative, inclusive environment where diverse perspectives are valued and new ideas are encouraged. Our team culture emphasizes scientific rigor, ethical practices, and a patient-centered approach to everything we do.

We understand the importance of work-life balance and offer flexible scheduling options to meet the diverse needs of our employees. This part-time position provides the flexibility to manage personal commitments while contributing to meaningful work that makes a difference in healthcare outcomes. You will have access to modern tools and technologies, comfortable workspace amenities, and a supportive team environment that encourages both professional and personal growth.

Compensation and Benefits

We are committed to providing competitive compensation and comprehensive benefits to our valued team members. In this part-time role, you will receive:

• Competitive Hourly Rate: $27 per hour, reflecting your expertise and contribution to our team.
• Flexible Schedule: Part-time hours designed to accommodate work-life balance, with potential for flexible scheduling based on role requirements.
• Professional Development: Access to training programs, skills development opportunities, and educational resources to support your career growth.
• Health and Wellness: Access to wellness programs designed to promote employee health and well-being, including fitness challenges and health screenings.
• Employee Support: Employee assistance programs providing confidential counseling and support for personal and professional challenges.
• Exclusive Discounts: Discounts on products and services available at arenaflex locations, including prescription medications and health-related products.
• Paid Time Off: Paid time off for holidays, vacations, and sick days, with amounts varying based on position and tenure.
• Retirement Benefits: Retirement savings plans, such as 401(k) options, to help you save for the future. Some plans may include employer matching contributions.

Join Our Team

If you are ready to make an impact in healthcare through data-driven research, we encourage you to apply for this Real World Evidence Data Scientist position at arenaflex. This is an exciting opportunity to join a respected organization and contribute to meaningful work that improves patient outcomes and advances clinical research. We value talented individuals who are passionate about using data science to solve complex healthcare challenges and are committed to professional excellence.

At arenaflex, you will find more than just a job – you will discover a career path, a supportive community, and the opportunity to make a lasting difference in healthcare. We look forward to reviewing your application and learning how your skills and experience can contribute to our mission of transforming healthcare through innovative data science.

Ready to take the next step? Apply today and join our team of dedicated professionals committed to advancing healthcare through rigorous research and data-driven insights. Your next career opportunity awaits at arenaflex.