About Company
Discovering talent for leading healthcare innovators is what drives Career.zycto. We are a dynamic recruitment firm dedicated to connecting skilled professionals with groundbreaking opportunities in clinical research and data management. For a Clinical Data Extraction Assistant, joining a team sourced by Career.zycto means stepping into a role where your meticulous attention to detail directly impacts medical progress. We partner with organizations that prioritize accuracy and integrity, offering environments where your expertise in data abstraction is highly valued and contributes to meaningful scientific endeavors. Find your next significant career step with us.
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Job Description
Are you meticulous, data-driven, and passionate about contributing to advancements in clinical research from the comfort of your home? Career.zycto is seeking a dedicated Clinical Data Extraction Assistant to join our growing remote team. This is an unparalleled opportunity for an individual with a keen eye for detail and a solid understanding of clinical data principles to play a pivotal role in extracting and organizing critical information from diverse clinical sources.
In this vital remote position, you will be instrumental in bridging the gap between raw clinical documentation and structured, analyzable datasets. Your work will directly support clinical trials, research projects, and regulatory submissions by ensuring the highest quality and accuracy of extracted data. We are looking for someone who thrives in an independent work environment, possesses exceptional organizational skills, and is committed to maintaining data integrity and confidentiality.
Working remotely, you will utilize specialized software and tools to abstract relevant data points from electronic health records (EHRs), case report forms (CRFs), medical charts, laboratory results, and other clinical documents. This role demands not just technical proficiency but also a deep understanding of medical terminology, disease classifications, and clinical trial protocols. You will be responsible for identifying discrepancies, querying data inconsistencies, and collaborating with clinical project managers to ensure data clarity and completeness.
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Career.zycto prides itself on fostering a supportive and collaborative remote culture, providing you with the resources and training necessary to excel. We believe that a robust and accurately compiled dataset is the backbone of meaningful scientific discovery, and your contribution as a Clinical Data Extraction Assistant will be fundamental to our collective success. You’ll work within a structured framework, adhering to Standard Operating Procedures (SOPs) and Good Clinical Practice (GCP) guidelines to ensure all extracted data meets the rigorous standards required for clinical research. This involves a continuous process of learning and adapting to new study protocols and data capture methodologies. Your ability to self-manage time effectively, prioritize tasks, and communicate proactively will be crucial for success in this dynamic role. Join Career.zycto and become a cornerstone in the journey towards medical breakthroughs.
Key Responsibilities
- Extract relevant clinical data from various source documents, including EHRs, CRFs, medical charts, and laboratory reports.
- Ensure accuracy, completeness, and consistency of all extracted data in strict accordance with study protocols and regulatory guidelines (GCP).
- Identify and resolve data discrepancies through systematic query generation and resolution processes.
- Utilize clinical data management systems (CDMS) and other specialized software for efficient data entry, validation, and review.
- Adhere strictly to Standard Operating Procedures (SOPs) and project-specific guidelines to maintain data quality and integrity.
- Maintain absolute confidentiality and implement robust data security protocols at all times.
- Collaborate effectively with clinical research associates, data managers, and project leads within a virtual team environment.
- Actively participate in training sessions to stay updated on new protocols, data systems, and industry best practices.
Required Skills
- Proficiency in medical terminology and a solid understanding of disease processes.
- Exceptional attention to detail and proven accuracy in data entry and validation.
- Excellent organizational and time management skills, essential for a remote work setting.
- Ability to interpret and abstract data from complex and diverse clinical documents.
- Familiarity with clinical data management systems (e.g., EDC systems) and strong command of Microsoft Office Suite.
- Strong written and verbal communication skills in English.
- Demonstrated ability to work independently while also contributing effectively as part of a virtual team.
Preferred Qualifications
- Bachelor's degree in a life science, healthcare, nursing, or a related scientific field.
- Previous experience (1-2 years) in clinical data management, data entry, or a similar role within a Clinical Research Organization (CRO) or pharmaceutical company.
- In-depth knowledge of Good Clinical Practice (GCP) and regulatory requirements pertinent to clinical trials.
- Experience with specific Electronic Medical Record (EMR) or Electronic Health Record (EHR) systems.
- Certification in Clinical Data Management (e.g., CCDM).
Perks & Benefits
- Competitive salary package with potential for performance-based incentives.
- Fully remote work model offering unparalleled flexibility and a healthy work-life balance.
- Extensive opportunities for professional development and continuous learning through various programs.
- Engaging and supportive virtual team environment that fosters collaboration.
- Access to cutting-edge tools and technologies to facilitate efficient data extraction.
- Comprehensive health and wellness programs.
- Generous paid time off and observance of public holidays.
How to Apply
Interested candidates are invited to submit their comprehensive resume and a compelling cover letter detailing their relevant experience and genuine interest in this remote Clinical Data Extraction Assistant role directly to our recruitment team. Please click the link below to apply.
