Clinical Data Risk Analyst - Mandarin Speaker

ICON

Location
Johannesburg, Gauteng
Minimum qualification
Bachelor's degree
Closing date

First listed . Last checked at source .

In brief

**Overview** As a Clinical Data Risk Analyst (Mandarin Speaker) at ICON, the role involves identifying and mitigating risks associated with clinical trial data. This position contributes to the overall success of clinical programs by employing risk assessment methodologies to ensure data integrity and compliance with regulatory standards. **What you will do** The role involves delivering high-standard clinical research work, in close collaboration with the team and stakeholders. Key responsibilities include: * Conducting risk assessments on clinical trial data to identify potential issues and recommend mitigation strategies. * Collaborating with cross-functional teams to develop and implement risk management plans and protocols. * Monitoring data quality and integrity throughout the trial process, reporting findings to stakeholders. * Utilizing statistical analysis and visualization tools to communicate risk-related insights effectively. * Supporting the preparation of risk management documentation for regulatory submissions and audits. **Requirements (from the original advert)** * Degree in statistics, life sciences, or a related field. * Proficiency in English and Mandarin mandatory. * Experience in clinical data analysis or risk management within a clinical research environment. * Strong analytical skills with proficiency in statistical software and risk assessment methodologies. * Attention to detail and a proactive approach to identifying and addressing data risks. * Effective communication skills, with the ability to collaborate across diverse teams and convey complex information clearly. **Who should apply** The ideal candidate will have relevant clinical research experience, specifically in identifying and mitigating risks in clinical trial data. They should possess a degree in statistics, life sciences, or a related field, and mandatory proficiency in both English and Mandarin. Candidates should also have experience in clinical data analysis or risk management within a clinical research environment, strong analytical and communication skills, proficiency in statistical software and risk assessment methodologies, and a proactive approach to data risk management. **Deadline** Not specified **Reference** Original posting: https://www.myjobmag.co.za/job/clinical-data-risk-analyst-mandarin-speaker-icon-plc Source: myjobmag

Summary drafted with AI assistance from the original advert. The advert itself is the authority — how we use AI.

Job description

* As a Clinical Data Risk Analyst Speaking Mandarin at ICON, you will identify and mitigating risks associated with clinical trial data. You will contribute to the overall success of our clinical programs by employing risk assessment methodologies to ensure data integrity and compliance with regulatory standards. What You Will Do: * Your role will involve delivering clinical research work to a high standard, working closely with your team and stakeholders. Key responsibilities include: * Conducting risk assessments on clinical trial data to identify potential issues and recommend mitigation strategies. * Collaborating with cross-functional teams to develop and implement risk management plans and protocols. * Monitoring data quality and integrity throughout the trial process, reporting findings to stakeholders. * Utilizing statistical analysis and visualization tools to communicate risk-related insights effectively. * Supporting the preparation of risk management documentation for regulatory submissions and audits. Your Profile: * You will bring relevant clinical research experience, along with the following qualifications and skills. Required qualifications and experience: * Degree in statistics, life sciences, or a related field. * Proficiency in English and Mandarin mandatory. * Experience in clinical data analysis or risk management within a clinical research environment. * Strong analytical skills with proficiency in statistical software and risk assessment methodologies. * Attention to detail and a proactive approach to identifying and addressing data risks. * Effective communication skills, with the ability to collaborate across diverse teams and convey complex information clearly.

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