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.
Apply to this job
**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
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.
Apply to this job
**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