Clinical Data Manager

Placements24

Randburg

Hybrid

ZAR 600,000 - 900,000

Full time

5 days ago
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Benefits offered by this job

Competitive salary
Remote work benefits
Health insurance
Generous PTO
Professional development
Flexible remote environment

Job summary

Placements24 is seeking a skilled Clinical Data Manager for a fully remote position based in South Africa. You will oversee data collection, validation, and database lock to ensure accuracy and regulatory readiness.

Responsibilities include CRF design, data management plans, data review, validation, and collaboration with biostatisticians and programmers to deliver high-quality datasets for analyses and study reports.

Qualifications

  • Bachelor's degree in a scientific, technical, or healthcare-related field.
  • Minimum of 4 years of experience in clinical data management.
  • Proficiency with EDC systems (Medidata Rave, Oracle Clinical).
  • Strong knowledge of GCP and data management best practices.
  • Detail-oriented, analytical, and able to work remotely.

Responsibilities

  • Oversee design, development, and maintenance of clinical databases, including CRF design and edit check specifications.
  • Develop and implement data management plans (DMPs) for assigned clinical trials.
  • Manage data review activities, ensuring timely identification and resolution of data discrepancies.
  • Perform data validation checks and ensure data consistency across all study sites and databases.
  • Collaborate with biostatisticians and programmers to ensure data quality and readiness for analysis.
  • Prepare for and support database lock activities for clinical study reports.

Skills

Analytical skills
Problem-solving
Independent worker
Time management

Education

Bachelor's degree in a scientific, technical, or healthcare field

Tools

Medidata Rave
Oracle Clinical

Job description

About the Role

Our client is seeking a skilled and detail-oriented Clinical Data Manager for a fully remote position, based within South Africa . You will be responsible for managing and overseeing the collection, validation, and database lock of clinical trial data, ensuring its accuracy, completeness, and integrity. This role is pivotal in supporting the successful execution of clinical research studies and ensuring data quality for regulatory submissions. You will work closely with clinical operations, biostatistics, and programming teams to deliver high-quality data sets that adhere to strict industry standards and protocols. This is an excellent opportunity to advance your career in clinical data management within a supportive, remote-first organization.


Key Responsibilities


  • Oversee the design, development, and maintenance of clinical databases, including Case Report Form (CRF) design and edit check specifications.

  • Develop and implement data management plans (DMPs) for assigned clinical trials.

  • Manage data review activities, ensuring timely identification and resolution of data discrepancies.

  • Perform data validation checks and ensure data consistency across all study sites and databases.

  • Collaborate with biostatisticians and programmers to ensure data quality and readiness for analysis.

  • Prepare for and support database lock activities for clinical study reports.


Requirements


  • Bachelor's degree in a scientific, technical, or healthcare-related field.

  • Minimum of 4 years of experience in clinical data management within the pharmaceutical or biotechnology industry.

  • Proficiency with Electronic Data Capture (EDC) systems (e.g., Medidata Rave, Oracle Clinical).

  • Strong understanding of clinical trial processes, GCP, and data management best practices.

  • Excellent analytical and problem-solving skills, with a keen eye for detail.

  • Proven ability to work independently, manage multiple projects, and meet deadlines in a remote setting .


Benefits


  • Competitive salary and remote work benefits.

  • Comprehensive health, dental, and vision insurance coverage.

  • Generous paid time off and holiday schedule.

  • Opportunities for professional development and training in data management technologies.

  • A flexible and collaborative remote work environment.

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