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Posted May 30, 2026

Experienced Full Stack Data Entry Specialist – Remote Workforce Management at careerzynith

**Join careerzynith's Thriving Team as a Part-Time Data Entry Specialist and Unlock a World of Opportunities** Are you a motivated and detail-oriented individual looking for a challenging and rewarding role in a dynamic team? Do you have a passion for data analysis and a knack for problem-solving? Look no further! careerzynith is seeking an experienced Full Stack Data Entry Specialist to join our Remote Workforce Management team on a part-time basis. As a key member of our team, you will play a vital role in driving business success through data-driven insights and innovative solutions. **About careerzynith** careerzynith is a leading organization in the private sector, dedicated to delivering exceptional services and solutions to our clients. With a strong commitment to innovation and excellence, we strive to create a work environment that fosters growth, collaboration, and creativity. Our team is comprised of bright and motivated individuals who share a passion for making a difference. **Job Summary** As a Full Stack Data Entry Specialist, you will be responsible for creating genuine proof (RWE) through cutting-edge research and innovative methodologies in the clinical trials space. You will work closely with our Clinical Trials team to convey significant insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests. Your expertise will be essential in driving business success through data-driven insights and innovative solutions. **Key Responsibilities** * Mine crude data collections to convey normalized, analysis-ready patient partners from in-house data resources or authorized stages, analyze and interpret results, and help shape investigation procedure. * Collaborate with different members of the careerzynith Clinical Trials team to convey significant insights from real-world, clinical, and other data sources to support biopharmaceutical RWE and clinical trial requests. * Clean, transform, and store data into a coordinated data lake for future analysis and broader team utilization. * Perform data mining and statistical analysis to analyze RWE/RWD to discover new insights regarding patient populations and treatment results. * Uphold the development of genuine data, analysis, and stage skills, applying advanced investigation and tools to resolve logical inquiries from biopharmaceutical organizations. * Work together on plan and execution of results research studies. * Ensure superior-grade, thorough, and promptly interpretable expectations from RWE review and examinations. * Assemble dashboards, analysis, and reports for internal and external utilization. * Conduct an expected level of effort on new true data suppliers merchants and drive RWD quality evaluations to illuminate venture choices. **Essential Capabilities** * 2 years of experience with R, Python, or SQL. * Experience in planning and executing powerful and reproducible statistical analyses regarding the study of disease transmission and observational research with healthcare data. * Knowledge of normal statistical testing strategies including generalized linear models, regression and separation, decision trees, machine learning, time series analysis, and survival analysis. * Experience handling large data from various data sources. * Experience managing protected patient health data. * Knowledge of at least one of the following: Tableau, Power BI, Alteryx, Spotfire, or other BI insight tools. **Favored Capabilities** * Mastery in EMR/Health IT, disease libraries, and claims data sets. * Aptitude in clinical data principles, clinical terminologies, and controlled vocabularies used in healthcare data and ontologies (ICD9/10/ReadCode). * Experience in Good Clinical Practice (GCP) and regulatory compliance rules for genuine proof examinations or clinical trials (e.g., ISO, MDD/MDR, CFR). * Experience handling alternative data sources and alternative methods for clinical data collection, particularly those enabled by technology stages and arrangements. * Experience with trial design, Bayesian modeling, sequential data, computational statistics. * Understanding of analytics and AI strategies, ability to continue self-learning of technical and non-technical skills. **Why Join careerzynith?** * Competitive salary and benefits package. * Opportunity to work with a dynamic and motivated team. * Professional growth and development opportunities. * Flexible work arrangements, including remote work options. * Collaborative and inclusive work environment. * Recognition and rewards for outstanding performance. **How to Apply** If you are a motivated individual ready to contribute to a thriving team, we encourage you to apply now! We are excited to review your application. **Equal Employment Opportunity** careerzynith is an equal employment opportunity employer. We welcome applications from diverse candidates and are committed to creating an inclusive work environment.