Experienced Real World Evidence (RWE) Data Scientist - Clinical Research & Data Analytics

Join arenaflex as a Data Scientist and transform healthcare data into life-changing insights! We're seeking a talented professional to drive innovative real-world evidence research that shapes the future of patient care and pharmaceutical development.

About arenaflex

At arenaflex, we believe in the power of data to revolutionize healthcare. As a leader in clinical research and data science, we partner with biopharmaceutical companies to generate meaningful real-world evidence that advances medical treatments, improves patient outcomes, and drives informed healthcare decisions. Our team of dedicated professionals works at the intersection of cutting-edge technology and medical science, delivering insights that matter.

Position Overview

We are currently seeking a highly skilled and motivated Information Researcher - Real World Evidence (RWE) to join our Clinical Data Science team. This is an exciting opportunity for a data professional who is passionate about leveraging analytical expertise to address critical questions in healthcare and clinical research. In this role, you will be responsible for producing high-quality Real World Evidence through advanced research methodologies and innovative approaches in the clinical trials space.

As a key member of our Scientific Projects team, you will have the unique opportunity to influence decision-making both internally and externally through the use of creative data science and technology. You will conduct sophisticated data analysis to help answer fundamental business questions and contribute to groundbreaking research that makes a real difference in patients' lives.

This position reports to the Chief of Clinical Data Science and offers competitive compensation along with comprehensive benefits package designed to support your professional and personal growth.

Key Responsibilities

As an RWE Data Scientist at arenaflex, you will be entrusted with a variety of critical responsibilities that contribute to our mission of advancing healthcare through data-driven insights:

• Data Mining and Preparation: Mine raw datasets to deliver standardized, analysis-ready patient cohorts from in-house data resources or licensed platforms. Analyze and interpret results while contributing to the development of analysis strategies that maximize data utility and insight generation.


• Cross-Functional Collaboration: Partner with various members of the arenaflex Clinical Trial team to deliver actionable insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests. This includes analysis of unmet medical needs, safety and efficacy of treatments in specific disease states, treatment patterns, healthcare economic burden, and cost-effectiveness modeling.


• Data Management: Clean, transform, and store data into an integrated data lake for future analysis and broader team utilization. Ensure data integrity, consistency, 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. Apply advanced statistical techniques to uncover patterns and trends that inform clinical decision-making.


• Capability Development: Support the development of real-world data, analytics, and platform capabilities by applying advanced analysis and tools to answer scientific questions from biopharmaceutical organizations. Contribute to the continuous improvement of our analytical infrastructure.


• Research Design: Collaborate on the design and execution of outcomes research studies, ensuring methodological rigor and statistical validity. Work closely with clinical experts to translate research questions into robust analytical approaches.


• Quality Assurance: Ensure high-quality, rigorous, and readily interpretable outputs from RWE reviews and investigations. Maintain high standards for analytical accuracy and reproducibility.


• Reporting and Visualization: Build dashboards, analyses, and reports for both internal and external use. Effectively communicate complex findings to diverse audiences, including technical and non-technical stakeholders.


• Vendor Assessment: Conduct due diligence on new real-world data providers and vendors. Drive RWD quality assessments to inform investment decisions and partnership opportunities.

Essential Qualifications

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

• Statistical Expertise: Experience designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data. Strong foundation in statistical methodology and research design.


• Statistical Techniques: Knowledge of common statistical testing methods including generalized linear models, clustering and classification, decision trees, unsupervised learning, time series analysis, and survival analysis. Proficiency in applying these techniques to real-world healthcare datasets.


• Big Data Experience: Proven experience processing large datasets from multiple data sources. Comfortable working with complex, high-dimensional data structures and scalable analytical platforms.


• Healthcare Data Compliance: Experience handling protected patient health information (PHI) with strict adherence to privacy regulations and data security protocols. Understanding of HIPAA compliance and healthcare data governance.


• Business Intelligence Tools: Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI/visualization tools. Ability to create compelling data visualizations that drive actionable insights.

Preferred Qualifications

Candidates with the following qualifications will be strongly preferred:

• Advanced Degree: PhD or Master's degree in statistics, biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related field. Advanced training in quantitative methods and data science.


• Healthcare Data Systems: Expertise in EMR/Health IT systems, disease registries, and insurance claims databases. Familiarity with electronic health record data structures and healthcare data ecosystems.


• Clinical Data Standards: Proficiency in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD-9/10, Read Code, SNOMED CT).


• Regulatory Knowledge: Experience in Good Clinical Practice (GCP) and regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO standards, MDD/MDR, CFR Title 21).


• Innovative Data Sources: Experience working with alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology platforms and/or solutions (wearables, patient apps, digital health platforms).


• Advanced Statistical Methods: Experience with experimental design, Bayesian modeling, sequential data, and computational statistics. Knowledge of machine learning methods and the ability to continuously learn new technical and non-technical skills.

Skills and Competencies

Beyond formal qualifications, we seek candidates who demonstrate the following competencies:

• Analytical Thinking: Strong problem-solving abilities with the capacity to approach complex data challenges with creativity and precision. Ability to translate ambiguous business questions into clear analytical frameworks.


• Communication Skills: Excellent written and verbal communication skills, with the ability to present technical findings to both technical and non-technical audiences. Skill in translating complex statistical concepts into actionable business insights.


• Collaboration: Ability to work effectively in cross-functional teams and build strong relationships with colleagues across departments. Experience collaborating with clinical, regulatory, and commercial stakeholders.


• Attention to Detail: Meticulous approach to data quality and analysis, ensuring accuracy and reproducibility in all deliverables.


• Initiative and Innovation: Proactive mindset with enthusiasm for exploring new methodologies and technologies. Willingness to challenge conventional approaches and drive continuous improvement.


• Time Management: Strong organizational skills with the ability to manage multiple projects and meet tight deadlines in a fast-paced environment.

Career Growth Opportunities

At arenaflex, we are committed to investing in your professional development and helping you build a rewarding career in data science and healthcare research:

• Professional Development: Access to comprehensive training programs, conferences, and certifications in advanced analytics, healthcare data science, and related fields.


• Career Advancement: Clear career pathways with opportunities to grow into senior analytical roles, team leadership positions, or specialized research areas.


• Cutting-Edge Projects: Exposure to diverse and challenging projects that span multiple therapeutic areas and data types, broadening your expertise and marketability.


• Mentorship: Mentorship from industry veterans and thought leaders who are passionate about nurturing the next generation of data science professionals.


• Innovation Culture: Encourage and support for publishing research, presenting at conferences, and contributing to the advancement of real-world evidence methodology.

Work Environment and Culture

arenaflex offers a dynamic, collaborative, and inclusive work environment where innovation thrives:

• Flexible Work Arrangements: We support remote work options and flexible scheduling to help you maintain work-life balance while meeting your professional goals.


• Inclusive Culture: We value diversity and believe that diverse perspectives drive innovation. Our inclusive culture celebrates differences and fosters belonging.


• Team Spirit: Join a team of passionate professionals who are united by a shared commitment to improving healthcare outcomes through data-driven insights.


• Modern Tools: Work with state-of-the-art analytical tools, cloud platforms, and technologies that empower you to do your best work.


• Collaborative Spaces: Access to modern office spaces designed for collaboration, creativity, and productivity.

Compensation and Benefits

We offer a competitive compensation package that reflects your skills, experience, and contributions:

• Competitive Salary: Attractive base salary commensurate with experience and qualifications.


• Performance Bonuses: Annual performance-based bonuses that recognize your contributions to team success.


• Comprehensive Benefits: Full health, dental, and vision insurance coverage for you and your family.


• Retirement Plans: 401(k) retirement plan with company matching contributions.


• Paid Time Off: Generous paid time off including vacation, sick leave, and holidays.


• Professional Development: Annual learning and development budget to support your growth.


• Wellness Programs: Access to wellness resources and programs that support your physical and mental well-being.

Conclusion

Are you ready to make a meaningful impact in healthcare through data science? Join arenaflex and become part of a team that is transforming the way real-world evidence is generated and used to improve patient outcomes.

This is an exceptional opportunity for a skilled data professional to advance their career in a rapidly growing field while contributing to work that truly matters. At arenaflex, you will find challenging projects, supportive colleagues, and the resources you need to succeed.

We invite qualified candidates to apply and become part of our mission to harness the power of data for better healthcare. Take the next step in your career and join arenaflex today!

arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.