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. Apply for this job