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Join arenaflex as a Data Scientist - Real World Evidence (RWE) Analytics
Are you passionate about transforming healthcare through data-driven insights? Do you thrive on uncovering meaningful patterns in complex datasets that can ultimately improve patient outcomes? arenaflex is seeking a talented and motivated Data Scientist - Real World Evidence to join our dynamic Clinical Data Science team. This is a remote opportunity that offers competitive compensation, flexibility, and the chance to make a significant impact in the healthcare and biopharmaceutical industries.
About arenaflex
arenaflex is a leading innovator in the healthcare and pharmaceutical sector, committed to advancing medical research and improving patient care through cutting-edge data science and technology. Founded with a vision to revolutionize how real-world data is utilized in clinical research, we partner with biopharmaceutical companies, healthcare providers, and research institutions to generate meaningful insights that drive better treatment decisions and health outcomes.
At arenaflex, we believe that data has the power to transform lives. Our team of experts works collaboratively to extract, analyze, and interpret real-world evidence (RWE) that helps answer critical questions in healthcare. We are proud to foster an inclusive, innovative, and supportive work environment where diverse perspectives are valued, and professional growth is encouraged. Join us and become part of a team that is shaping the future of healthcare through advanced analytics and research excellence.
Position Overview
The Information Researcher - Real World Evidence (RWE) at arenaflex will be responsible for producing high-quality Real World Evidence through advanced research and innovative methodologies in the clinical trials space. As a key member of the Scientific Projects team, you will play a pivotal role in leveraging your expertise in data science and technology to influence decision-making both internally and externally.
In this position, you will conduct sophisticated data analysis to help address critical business questions and contribute to groundbreaking research initiatives. This role reports to the Chief of Clinical Data Science and offers the opportunity to work with diverse datasets, cutting-edge analytical tools, and cross-functional teams across the organization.
Key Responsibilities
- Data Mining and Preparation: Mine raw datasets to deliver normalized, analysis-ready patient cohorts from in-house data resources or licensed platforms. Analyze and interpret results while helping shape overall analysis strategy to ensure accurate and actionable insights.
- Cross-Functional Collaboration: Partner with various members of the arenaflex Clinical Trials 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, healthcare economic burden, and cost-effectiveness modeling.
- Data Management and Integration: Clean, transform, and store data into an integrated data lake for future analysis and broader team usage. Ensure data integrity, consistency, and accessibility across the organization.
- Statistical Analysis and Insights Discovery: 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 healthcare decisions.
- Platform and Capability Development: Support the development of real-world data, analytics, and platform capabilities by applying advanced analysis and tools to answer scientific inquiries from biopharmaceutical organizations. Contribute to the continuous improvement of our analytical infrastructure.
- Research Study Execution: Collaborate on the design and execution of outcomes research studies, ensuring methodological rigor and scientific validity. Work closely with study sponsors to meet their research objectives.
- Quality Assurance and Interpretation: Ensure high-quality, rigorous, and readily interpretable outputs from RWE reviews and investigations. Maintain high standards of accuracy and clarity in all deliverables.
- Reporting and Visualization: Build dashboards, analyses, and reports for both internal and external use. Create compelling visual representations of complex data that effectively communicate findings to stakeholders.
- Vendor Assessment and Quality Evaluation: Conduct due diligence on new real-world data providers and vendors. Drive RWD quality assessments to inform project decisions and ensure we work with the highest quality data sources.
Essential Qualifications and Skills
- 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 Proficiency: Knowledge of common statistical testing techniques including generalized linear models, clustering and discrimination, decision trees, unsupervised learning, time series analysis, and survival analysis. Ability to apply the appropriate statistical methods based on research questions.
- Large-Scale Data Handling: Experience processing large data from multiple data sources. Comfortable working with complex, high-dimensional datasets and managing data at scale.
- Healthcare Data Privacy: Experience handling protected patient health information (PHI) with the highest level of confidentiality and in compliance with relevant regulations such as HIPAA.
- Business Intelligence Tools: Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI/visualization tools. Ability to create impactful visualizations and dashboards that drive decision-making.
- Educational Background: Bachelor's degree in a relevant field such as statistics, biostatistics, data science, epidemiology, public health, or a related discipline.
Preferred Qualifications
- 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 is highly valued.
- Healthcare Data Expertise: Proficiency in EMR/Health IT systems, disease registries, and insurance claims databases. Familiarity with the healthcare data landscape and understanding of data provenance.
- Clinical Data Standards: Expertise in clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD-9/10, Read Codes, SNOMED CT, etc.).
- 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). Understanding of the regulatory framework governing healthcare research.
- Innovative Data Collection Methods: Experience working with alternative data sources and alternative methods for clinical data collection, especially those enabled by technology platforms and/or solutions. Interest in digital health, wearable devices, and patient-generated health data.
- Advanced Analytical Skills: Experience with experimental design, Bayesian modeling, sequential data, and computational statistics. Knowledge of machine learning methods and their application in healthcare research.
- Continuous Learning: Understanding of statistics and machine learning methods, with the ability to continuously self-learn technical and non-technical skills. Curiosity and enthusiasm for staying current with industry developments.
Skills and Competencies Required for Success
- Analytical Thinking: Strong problem-solving abilities and the capacity to approach complex questions methodically. Ability to translate business questions into 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 analyses into actionable recommendations.
- Collaboration and Teamwork: Ability to work effectively in cross-functional teams and build positive relationships with colleagues across the organization.
- Attention to Detail: Meticulous approach to data quality and analysis, ensuring accuracy and reproducibility in all work products.
- Time Management: Strong organizational skills with the ability to manage multiple projects and meet tight deadlines in a fast-paced environment.
- Initiative and Innovation: Proactive approach to identifying opportunities and suggesting improvements to processes and methodologies.
Career Growth Opportunities and Learning Benefits
At arenaflex, we are committed to the professional development and career advancement of our employees. As a Data Scientist - RWE, you will have access to numerous opportunities for growth and learning:
- Career Advancement: Clear pathways for career progression within the data science and research teams. As you develop expertise, you will have opportunities to take on lead roles, manage teams, and influence strategic direction.
- Continuous Learning: Access to internal training programs, workshops, and seminars. Support for attending external conferences, webinars, and professional development courses. Tuition reimbursement for relevant advanced degrees and certifications.
- Mentorship: Pairing with experienced mentors who can guide your professional development and help you navigate your career path at arenaflex.
- Cross-Functional Exposure: Opportunities to work on diverse projects across different therapeutic areas and business units, broadening your experience and expertise.
- Industry Leadership: Chance to contribute to thought leadership through publications, conference presentations, and participation in industry working groups.
Work Environment and Company Culture
arenaflex offers a supportive and collaborative work environment that values innovation, diversity, and inclusion. Our culture is built on the following core principles:
- Innovation: We encourage creative thinking and novel approaches to solving complex healthcare challenges. Your ideas matter and can make a real difference.
- Collaboration: We believe the best solutions come from diverse teams working together. You will have the opportunity to collaborate with experts from various backgrounds and disciplines.
- Work-Life Balance: We support flexible work arrangements and understand the importance of maintaining balance between professional and personal life.
- Inclusion: We are committed to creating an inclusive workplace where all employees feel valued, respected, and empowered to contribute their best work.
- Impact: Your work at arenaflex will directly contribute to improving patient outcomes and advancing healthcare through evidence-based insights.
Compensation, Perks, and Benefits
arenaflex is pleased to offer a comprehensive and competitive compensation package for this position:
- Hourly Compensation: $26 per hour, with opportunities for performance-based increases.
- Health and Wellness: Comprehensive health benefits including medical, dental, and vision insurance. Wellness programs designed to support your physical and mental health.
- Time Off: Generous paid time off including vacation, sick leave, and holidays. We encourage employees to take time to recharge and maintain work-life balance.
- Retirement Savings: 401(k) retirement plan with employer matching to help you save for the future.
- Professional Development: Annual professional development budget for courses, certifications, conferences, and training programs.
- Employee Assistance Program: Confidential counseling and support services for employees and their families.
- Flexible Work Arrangements: Remote work flexibility with the necessary tools and technology to succeed from your home office.
- Employee Discounts: Discounts on products and services, reflecting our commitment to employee wellbeing.
Conclusion
Join arenaflex and become part of a team that is transforming healthcare through the power of data. As a Data Scientist - Real World Evidence, you will play a crucial role in generating insights that matter—insights that can shape treatment guidelines, inform policy decisions, and ultimately improve the lives of patients around the world.
We are looking for a passionate, detail-oriented professional who is excited about the opportunity to apply their analytical skills to meaningful healthcare challenges. If you have a strong foundation in statistics, experience with healthcare data, and a desire to make an impact, we encourage you to apply.
At arenaflex, your contributions will be valued, your growth will be supported, and your work will make a difference. Take the next step in your career and join our team of dedicated professionals who are committed to advancing healthcare through evidence and innovation.
Apply now to join arenaflex and start your journey with a leader in real-world evidence analytics!
arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.