About careerzynith: Pioneering Healthcare Innovation
careerzynith stands at the forefront of healthcare innovation, combining cutting-edge technology with deep industry expertise to transform how we understand and utilize real-world evidence in clinical research and healthcare decision-making. As a leader in healthcare analytics and data science, we're committed to bridging the gap between clinical trials and real-world patient outcomes, providing insights that shape the future of medicine and patient care. Our collaborative, forward-thinking environment attracts top talent from across the globe, united by a shared passion for leveraging data to make meaningful impacts in healthcare.
The Opportunity: Real-World Evidence Data Scientist
We're seeking an exceptional Real-World Evidence Data Scientist to join our innovative Scientific Affairs team at careerzynith. This is more than just a data analysis position—it's an opportunity to shape healthcare outcomes through advanced data science methodologies and innovative analytical approaches in the clinical trials space. In this remote role based in Orlando, you'll become a vital part of our mission to transform healthcare decisions through the power of real-world evidence.
Key Responsibilities
- Data Mining and Preparation: Mine raw datasets to deliver standardized, analysis-ready patient cohorts from in-house data resources or licensed platforms. You'll analyze and interpret results while contributing to the shaping of our overall analysis strategy.
- Collaborative Analysis: Partner with members of careerzynith's Clinical Trials team to deliver meaningful insights from real-world, clinical, and diverse data sources. Support biopharmaceutical RWE and clinical trial requests through analysis of unmet needs, treatment efficacy and safety in specific disease states, treatment patterns and 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, ensuring data integrity and accessibility.
- Advanced Statistical Analysis: Perform data mining and statistical analysis to examine RWE/RWD and discover new insights regarding patient populations and treatment outcomes.
- Technical Development: Support the development of real-world data, analytics, and platform capabilities, applying advanced analytics and tools to address scientific questions from biopharmaceutical partners.
- Study Design Collaboration: Collaborate on the design and implementation of outcomes research studies that address critical healthcare questions.
- Quality Assurance: Ensure high quality, comprehensive, and readily interpretable results from RWE studies and analyses that meet regulatory standards.
- Visualization and Reporting: Build dashboards, analytics, and reports for both internal and external stakeholders, translating complex findings into actionable insights.
- Vendor Management: Conduct due diligence on new real-world data provider vendors and drive RWD quality evaluations to inform project decisions.
Essential Qualifications
- Experience in Statistical Analysis: Proven experience designing and executing robust and reproducible statistical analyses in the context of epidemiology and observational research with healthcare data.
- Statistical Methodology: Strong knowledge of common statistical testing methods including generalized linear models, clustering and discrimination, decision trees, unsupervised learning, time series analysis, and survival analysis.
- Data Handling: Demonstrated experience processing large datasets from multiple data sources with diverse structures and formats.
- Data Privacy: Experience handling protected health information (PHI) with strict adherence to privacy regulations and security protocols.
- Business Intelligence Tools: Proficiency with at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI/analytics tools.
- Bachelor's Degree: Completion of a bachelor's degree in a relevant field is required.
- Full-Time Position: This is a full-time remote position with standard 8-hour work hours, offering flexibility in scheduling.
Preferred Qualifications
- Advanced Education: PhD or Master's degree in statistics, biostatistics, computer science, mathematics, systems engineering, biomedical engineering, or related field.
- Healthcare IT Expertise: Specialized skill in EMR/Health IT systems, disease registries, and insurance claims databases.
- Healthcare Data Standards: Expertise in clinical data standards, medical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode).
- Regulatory Knowledge: Experience with Good Clinical Practice (GCP) as well as compliance regulations for real-world evidence studies or clinical trials (e.g., ISO, MDD/MDR, CFR).
- Innovative Data Collection: Experience working with alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology platforms and solutions.
- Advanced Methodologies: Experience with experimental design, Bayesian modeling, sequential data, and computational statistics.
- Continuous Learning: Deep understanding of statistics and machine learning methods, with a strong capacity for continued self-learning of technical and non-technical skills.
Skills and Competencies for Success
- Analytical Thinking: Exceptional ability to think critically and solve complex problems through structured analytical approaches.
- Technical Proficiency: Strong programming skills in languages such as R, Python, or SQL for data manipulation and analysis.
- Communication Skills: Excellent ability to translate complex technical concepts into understandable insights for both technical and non-technical stakeholders.
- Project Management: Demonstrated ability to manage multiple projects simultaneously, prioritizing tasks and meeting deadlines.
- Attention to Detail: Meticulous approach to data quality, validation, and documentation.
- Collaboration: Strong interpersonal skills with the ability to work effectively in cross-functional teams.
- Adaptability: Ability to quickly learn new tools, technologies, and methodologies in the rapidly evolving field of healthcare data science.
Career Growth and Development
At careerzynith, we're committed to the continuous growth and development of our team members. As a Real-World Evidence Data Scientist, you'll have access to numerous professional development opportunities, including:
- Advanced training in healthcare data analytics and real-world evidence methodologies
- Opportunities to present findings at industry conferences and publish in peer-reviewed journals
- Mentorship from senior leaders in healthcare data science and clinical research
- Clear pathways for advancement into senior data science, research leadership, or specialized healthcare analytics roles
- Access to cutting-edge tools and technologies that keep careerzynith at the forefront of healthcare innovation
Work Environment and Company Culture
careerzynith fosters a collaborative, inclusive, and innovative work environment where diverse perspectives are valued and celebrated. As a remote-first organization, we've developed a culture that prioritizes flexibility, work-life balance, and results-oriented performance. You'll be part of a global team of healthcare innovators who are passionate about making a difference in patient care through data-driven insights. Our culture emphasizes:
- Innovation: We encourage creative thinking and new approaches to solving healthcare challenges.
- Collaboration: Our cross-functional teams work together to achieve ambitious goals.
- Impact: Every project contributes to our mission of transforming healthcare through evidence-based decision-making.
- Excellence: We maintain high standards in all aspects of our work, from data analysis to client delivery.
- Work-Life Balance: We respect personal time and offer flexible scheduling to accommodate individual needs.
Compensation, Benefits, and Perks
careerzynith is committed to providing competitive compensation and comprehensive benefits that support your professional growth and personal well-being. For this role, we offer:
- Competitive Salary: $26 per hour, with opportunities for performance-based increases.
- Healthcare Benefits: Comprehensive medical, dental, and vision insurance options for you and your family.
- Wellness Programs: Access to wellness resources, fitness stipends, and mental health support services.
- Professional Development: Annual learning and development budget to support continued education and skill enhancement.
- Retirement Planning: 401(k) plan with employer contributions to help you secure your financial future.
- Flexible Work Arrangements: Remote-first work environment with options for flexible scheduling.
- Paid Time Off: Generous vacation policy, paid holidays, and sick leave to ensure work-life balance.
- Employee Discounts: Special discounts on careerzynith's healthcare products and services.
- Technology Stipend: Equipment allowance to ensure you have the tools needed for optimal remote work.
Why Join careerzynith?
careerzynith is more than just an employer—we're a community of healthcare innovators dedicated to making a meaningful impact on patient outcomes. By joining our team, you'll have the opportunity to:
- Work on projects that directly influence healthcare decision-making and patient care
- Collaborate with leading experts in healthcare analytics, clinical research, and data science
- Develop and refine skills in one of healthcare's most rapidly evolving fields
- Contribute to a culture that values innovation, integrity, and impact
- Enjoy the flexibility of remote work while being part of a supportive global team
Apply Today
Are you ready to transform healthcare through the power of real-world evidence? The Real-World Evidence Data Scientist position at careerzynith offers an exceptional opportunity to apply your skills in data science and analytics to address meaningful healthcare challenges. Whether you're just beginning your career in healthcare data or are an experienced professional looking to make a bigger impact, we invite you to explore this opportunity with us.
To apply, please submit your resume and a cover letter highlighting your experience with statistical analysis, healthcare data, and real-world evidence studies. We look forward to reviewing your application and discussing how you can contribute to careerzynith's mission of advancing healthcare through data-driven insights.