Join arenaflex as a Data Scientist - Real World Evidence (RWE) Analytics Professional
Are you passionate about transforming healthcare through the power of data? Do you thrive on uncovering meaningful insights that can improve patient outcomes and shape the future of medical research? arenaflex is seeking a talented and motivated Data Scientist to join our dynamic Clinical Data Science team, where you will play a pivotal role in generating Real World Evidence (RWE) through cutting-edge research and innovative methodologies in the clinical trials space.
About arenaflex
At arenaflex, we believe that data has the power to revolutionize healthcare. As a leading organization in the pharmaceutical and healthcare industry, we are committed to leveraging advanced analytics and technology to address some of the most critical challenges in modern medicine. Our Clinical Data Science team works at the forefront of real-world evidence generation, collaborating with biopharmaceutical companies, healthcare providers, and research institutions to deliver actionable insights that improve patient care and inform healthcare decisions.
When you join arenaflex, you become part of a collaborative environment that values innovation, excellence, and continuous learning. We are dedicated to fostering a culture where talented individuals can grow, contribute meaningfully, and make a lasting impact on global health outcomes.
Position Overview
We are looking for an experienced Information Researcher - RWE to join our Scientific Solutions team. In this critical role, you will be responsible for producing Real World Evidence (RWE) through advanced research and innovative methodologies in the clinical trials space. You will be a vital part of our Analytical Projects team, working to influence decision-making both internally and externally through the use of innovative data science and technology.
This position offers the opportunity to conduct sophisticated data analysis to help address fundamental business questions and contribute to groundbreaking research that makes a real difference in patients' lives. You will report to the Chief of Clinical Data Science and work closely with cross-functional teams to deliver meaningful insights from real-world, clinical, and other data sources.
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, and help shape analysis strategy.
- Cross-Functional Collaboration: Partner with various members of the Clinical Trials team to deliver actionable 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, as well as cost-effectiveness modeling.
- Data Management: Clean, transform, and store data into an integrated data lake for future analysis and broader team usage, ensuring data integrity and accessibility.
- 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.
- Capability Development: Support the development of real-world data, analytics, and platform capabilities, applying advanced analytics and tools to address scientific inquiries from biopharmaceutical companies.
- Research Collaboration: 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, maintaining the highest standards of analytical excellence.
- Reporting and Visualization: Build dashboards, analyses, and reports for both internal and external use, effectively communicating complex findings to diverse stakeholders.
- Vendor Assessment: Conduct due diligence on new real-world data providers and vendors, and drive RWD quality assessments to inform investment decisions.
Essential Qualifications and Skills
To succeed in this role, you will need:
- Statistical Expertise: Experience designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data. You should be proficient in common statistical testing techniques including generalized linear models, clustering and classification, decision trees, unsupervised learning, time series analysis, and survival analysis.
- Data Handling Experience: Proven experience processing large data from diverse data sources, with the ability to manage and manipulate complex datasets effectively.
- Healthcare Data Experience: Experience handling protected patient health information with the utmost care and compliance with privacy regulations.
- Business Intelligence Tools: Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI visualization tools.
- Educational Background: Bachelor's degree in a relevant field such as statistics, biostatistics, computer science, mathematics, or a related discipline.
Preferred Qualifications
We would love to consider candidates with:
- Advanced Degree: PhD or Master's degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related field.
- Healthcare Data Expertise: Proficiency in EMR/Health IT, disease registries, and insurance claims databases.
- Clinical Data Standards: Knowledge of clinical data standards, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD-9/10/ReadCode).
- Regulatory Experience: Experience in Good Clinical Practice (GCP) and/or regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR).
- Innovative Data Sources: Experience working with alternative data sources and alternative methods for clinical data collection, especially those enabled by technology platforms and/or solutions.
- Advanced Statistical Methods: Experience with experimental design, Bayesian modeling, sequential data, and computational statistics.
- Machine Learning: Understanding of statistics and machine learning methods, with the ability to pursue self-learning of both technical and non-technical skills.
Career Growth and Learning Opportunities
At arenaflex, we are committed to your professional development. As part of our team, you will have access to:
- Comprehensive training programs and professional development opportunities
- Mentorship from industry experts and leaders in the field
- Exposure to cutting-edge analytics methodologies and healthcare data platforms
- Collaboration with top biopharmaceutical companies and research institutions
- Clear career advancement pathways within the organization
- Internal mobility opportunities to explore different roles and functions
Work Environment and Culture
arenaflex offers a collaborative, innovative, and inclusive work environment where your contributions truly matter. We value diversity and believe that different perspectives drive creativity and innovation. Our team culture emphasizes:
- Collaboration: Working together across teams and functions to achieve common goals
- Innovation: Encouraging creative thinking and new approaches to solving complex problems
- Work-Life Balance: Supporting flexible work arrangements, including remote work options
- Continuous Learning: Fostering an environment where ongoing education and skill development are prioritized
- Integrity: Maintaining the highest ethical standards in all our work
Compensation and Benefits
arenaflex offers a competitive compensation package that includes:
- Attractive hourly rate of $26 per hour
- Comprehensive health, dental, and vision insurance
- 401(k) retirement plan with company matching
- Paid time off and holidays
- Professional development reimbursement
- Employee assistance program
- Various employee perks and wellness programs
Location
This position is based in Orlando, USA. We offer flexible work arrangements, including remote work options, to support your productivity and work-life balance.
Why Join arenaflex?
By joining arenaflex, you will become part of a team that is making a meaningful difference in healthcare. Your work as a Data Scientist will directly contribute to generating evidence that improves patient outcomes, informs treatment decisions, and advances medical science. We offer a supportive environment where your skills will be developed, your contributions will be recognized, and your career will flourish.
If you are passionate about data science, healthcare, and making a positive impact, we encourage you to apply for this exciting opportunity. Join arenaflex and be part of a team that is transforming healthcare through the power of analytics and evidence-based insights.
How to Apply
Ready to take the next step in your career? We invite you to join arenaflex and contribute to our mission of improving healthcare through data-driven insights. Apply today to become part of our talented team and help shape the future of real-world evidence in healthcare.
arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.