Senior Real World Evidence Data Scientist – Clinical Research Analytics & Healthcare Data Insights
**Rewritten Job Description (HTML):**
Join arenaflex as a Real World Evidence Data Scientist – Transform Healthcare Through Data Innovation
Are you passionate about leveraging data to shape the future of healthcare? Do you thrive on uncovering insights that can improve patient outcomes and drive meaningful change in the pharmaceutical and clinical research industries? arenaflex is seeking a talented and motivated Real World Evidence (RWE) Data Scientist to join our dynamic Clinical Data Science team. This is a unique opportunity to be at the forefront of healthcare analytics, working with cutting-edge methodologies and real-world data to answer critical questions that impact patient care globally.
At arenaflex, we believe that data has the power to revolutionize healthcare. As part of our Clinical Data Science division, you will play a pivotal role in generating real-world evidence that informs clinical trial design, supports biopharmaceutical decision-making, and ultimately helps bring life-saving treatments to market. This position offers the chance to work with diverse datasets, collaborate with cross-functional teams, and contribute to groundbreaking research that makes a tangible difference in patients' lives.
About arenaflex and Our Mission
arenaflex is a forward-thinking healthcare innovation company dedicated to advancing medical science through data-driven approaches. We partner with leading biopharmaceutical organizations, healthcare providers, and research institutions to deliver actionable insights that improve treatment outcomes, optimize clinical trials, and enhance patient care. Our commitment to scientific excellence, integrity, and innovation sets us apart in the healthcare analytics space.
Our Clinical Data Science team is the analytical engine driving our RWE capabilities. We specialize in transforming complex healthcare data into meaningful evidence that supports regulatory submissions, market access strategies, and clinical development programs. When you join arenaflex, you become part of a collaborative environment where your expertise is valued, your ideas are heard, and your career growth is supported.
Position Overview: Information Researcher – Real World Evidence
The Information Researcher – RWE will be responsible for generating Real World Evidence (RWE) through advanced research and innovative methodologies in the clinical trials space. As an integral part of our Clinical Data Science team, you will have the opportunity to impact internal and external decision-making through the use of cutting-edge data science and technology. In this role, you will conduct sophisticated data analysis to help address critical business questions that shape the future of healthcare treatments.
This position reports to the Executive Director of Clinical Data Science and offers significant visibility into both internal strategic initiatives and external client projects. You will collaborate with stakeholders across the organization, including clinical operations, medical affairs, biostatistics, and commercial teams.
Key Responsibilities
As a Real World Evidence Data Scientist at arenaflex, you will be responsible for:
- Data Mining and Analysis: Mine raw datasets to deliver normalized, analysis-ready patient cohorts from internal data assets or licensed platforms, analyze and interpret results, and help shape overall analysis strategy for RWE studies.
- Cross-Functional Collaboration: Partner with various members of the arenaflex Clinical Trial team to deliver meaningful insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests. This includes analyzing unmet needs, safety and efficacy of treatments in specific disease states, treatment patterns, and healthcare economic burden.
- Data Transformation: Clean, transform, and store data into a structured data lake for future analysis and broader team utilization, ensuring data quality 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 answer scientific questions from biopharmaceutical companies.
- Research Study Support: Collaborate on the design and execution of outcomes research studies, including protocol development, statistical analysis plans, and study implementation.
- Quality Assurance: Ensure high-quality, rigorous, and readily interpretable outputs from RWE reviews and investigations, maintaining the highest standards of scientific integrity.
- Reporting and Visualization: Build dashboards, analyses, and reports for both internal and external use, effectively communicating complex findings to diverse audiences.
- Vendor Evaluation: Conduct due diligence on new real-world data providers and vendors, and drive RWD quality assessments to inform investment decisions.
Essential Qualifications
To succeed in this role, you must possess:
- 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 study design, causal inference, and statistical modeling.
- Statistical Methods Knowledge: Proficiency in common statistical testing techniques including generalized linear models, classification and regression, decision trees, unsupervised learning, time series analysis, and survival analysis.
- Large Data Handling: Experience processing large datasets from multiple data sources, with the ability to manage, clean, and transform high-volume healthcare data.
- Data Privacy Compliance: Experience handling protected patient health information (PHI) with strict adherence to HIPAA regulations and data privacy requirements.
- BI Tools Proficiency: Knowledge of at least one of the following: SAS, Power BI, Alteryx, Spotfire, or other business intelligence and visualization tools.
- Educational Background: Bachelor's degree in statistics, biostatistics, computer science, mathematics, epidemiology, public health, or a related field. Equivalent professional experience will also be considered.
Preferred Qualifications
While not required, the following qualifications would strengthen your application:
- Advanced Degree: PhD or Master's degree in statistics/biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or a related field.
- Healthcare Data Experience: Proficiency in EMR/Health IT systems, disease libraries, and insurance claims databases.
- Clinical Data Standards: Expertise 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) as well as regulatory compliance guidelines for real-world evidence studies or clinical trials (e.g., ISO standards, MDD/MDR, CFR Title 21).
- Alternative Data Sources: Experience working with alternative data sources and alternative methods for clinical data collection, especially those enabled by technology platforms or solutions (wearables, patient apps, digital health tools).
- Advanced Analytics: Experience with experimental design, Bayesian modeling, sequential data, and computational statistics.
- Machine Learning: Understanding of machine learning methods and the ability to continue self-learning of both technical and non-technical skills.
Skills and Competencies for Success
Beyond technical qualifications, we are looking for candidates who demonstrate:
- Analytical Thinking: Strong problem-solving skills with the ability to approach complex data challenges creatively and systematically.
- Communication Skills: Excellent written and verbal communication skills, with the ability to translate technical concepts for non-technical audiences.
- Collaboration: Team-oriented mindset with experience working effectively in cross-functional teams.
- Attention to Detail: Commitment to producing high-quality, accurate work with rigorous attention to scientific methodology.
- Initiative: Self-motivated with the ability to work independently and manage multiple projects simultaneously.
- Learning Agility: Eagerness to learn new technologies, methodologies, and domain knowledge in the rapidly evolving healthcare analytics field.
Career Growth and Learning Opportunities
At arenaflex, we are invested in your professional development. As part of our team, you will have access to:
- Advanced Training: Opportunities for professional development in cutting-edge analytics methodologies, including machine learning, artificial intelligence, and advanced statistical modeling.
- Industry Exposure: Exposure to diverse therapeutic areas and a wide range of pharmaceutical and biotechnology clients.
- Career Advancement: Clear pathways for career progression within the clinical data science function, with opportunities to take on leadership roles as you grow.
- Conference Participation: Support for attending and presenting at industry conferences, workshops, and professional forums.
- Mentorship: Access to experienced mentors who can guide your career development and help you achieve your professional goals.
- Certification Support: Financial support for obtaining relevant professional certifications (e.g., SAS certification, GCP certification).
Work Environment and Culture
arenaflex offers a dynamic, inclusive, and collaborative work environment that fosters innovation and excellence. Our culture is built on several core values:
- Scientific Integrity: We uphold the highest standards of scientific rigor and ethical conduct in all our work.
- Collaboration: We believe that the best solutions emerge when diverse perspectives come together.
- Innovation: We encourage creative thinking and embrace new technologies and methodologies.
- Work-Life Balance: We support flexible work arrangements and prioritize employee well-being.
- Continuous Learning: We foster an environment where learning and professional growth are encouraged and celebrated.
This position is based in North Carolina, USA, and offers flexibility for remote or hybrid work arrangements. We provide the tools and resources you need to succeed, whether working in-office or remotely.
Compensation and Benefits
arenaflex offers a competitive compensation package that reflects your skills, experience, and contributions. The salary range for this position is $20-30 per hour, commensurate with qualifications and experience. In addition to competitive pay, we offer a comprehensive benefits package including:
- Health and Wellness: Medical, dental, and vision insurance plans with comprehensive coverage.
- Retirement Savings: 401(k) retirement plan with company matching contributions.
- Paid Time Off: Generous paid time off including vacation, sick leave, and personal days.
- Professional Development: Tuition reimbursement and professional development opportunities.
- Employee Assistance Program: Confidential support services for personal and professional challenges.
- Flexible Work Options: Remote and flexible work arrangements to support work-life balance.
Why Join arenaflex?
By joining arenaflex, you will become part of a team that is making a meaningful impact on healthcare through data-driven insights. You will work on challenging projects that push the boundaries of what is possible in real-world evidence generation. Your contributions will help accelerate the development of new treatments and improve patient outcomes worldwide.
We value diversity, equity, and inclusion and are committed to creating a workplace where everyone can thrive. We encourage individuals from all backgrounds and experiences to apply.
How to Apply
If you are ready to take the next step in your career and make a difference in healthcare through data science, we encourage you to apply. This is a full-time position with standard work hours of 8 hours per day. The role is based in North Carolina, USA, with flexibility for remote work arrangements.
To apply for this position, please submit your resume and cover letter detailing your qualifications and interest in joining the arenaflex team. We look forward to hearing from you!
arenaflex is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.