Remote Clinical Data Code, Oncology
Remote Clinical Data Code, Oncology
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Salary Not Disclosed
1 Vacancy
Job Description
Remote Clinical Data Code Oncology needs 2 years of experience in clinical data coding preferably in oncology trials.
Clinical Data Code Oncology requires:
- Part time
- 20 hours weekly
- Bachelors degree in Life Sciences Health Information Management or related field.
- Strong understanding of clinical trial data standards and regulatory requirements.
- Excellent attention to detail and ability to manage multiple coding tasks in a fast-paced environment.
- Results-driven take initiative and ownership to accomplish work. Knowledge of ICH Good Clinical Practice and FDA regulations.
- Proficiency with Rave Coder and familiarity with MedDRA and WHO Drug dictionaries. Effective time management and organization skills.
- Strong communication skills for cross-functional collaboration with CRAs CDMs and medical reviewers.
- Experience with coding in global multi-site oncology studies. Good interpersonal written and verbal communication skills.
Clinical Data Code Oncology duties:
- Perform ongoing medical and medication coding using Rave Coder in accordance with MedDRA and WHO Drug dictionaries.
- Review and resolve auto-coded and manually coded terms ensuring alignment with SMPA coding conventions and internal SOPs
- Collaborate with Clinical Data Managers to clarify ambiguous or unclear verbatim terms and issue coding queries when necessary
- Maintain coding listings and ensure all terms are coded and approved prior to database lock
- Support coding-related documentation and contribute to the development and maintenance of coding guidelines and SOPs
- Participate in system validation user acceptance testing and updates related to coding modules and dictionary integrations.
- Review and resolve complex or ambiguous verbatim terms escalating to medical reviewers or clinical teams as needed.
- Monitor coding metrics and quality indicators proactively identifying trends and areas for improvement.
- Ensure adherence to Data Management standards
Employment Type
Full Time
