Associate Statistical Monitor

0 - 2 years

2 - 6 Lacs

Posted:5 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

The Position

As an Associate Statistical Monitor, you will play a key role in maintaining and operating the Statistical Monitoring function. Your responsibilities will include:

  • Operating and maintaining the Statistical Monitoring function to detect unusual data patterns, systematic errors, and potential non-compliance or fraud across trials and projects.
  • Collaborating with trial and project teams to plan and execute Statistical Monitoring activities.
  • Analyzing clinical trial data to identify irregularities and communicating findings to relevant stakeholders, including trial teams and management.
  • Contributing to the development of competencies in Statistical Monitoring by exploring new methods and tools and supporting training initiatives.
  • Sharing knowledge and insights to improve the quality of clinical trial data and prevent future occurrences of low-quality data.
  • Actively participating in meetings, training sessions, and continuous process improvement initiatives.

Qualifications

We are looking for a motivated individual with the following qualifications:

  • A university degree in life sciences or engineering (e.g., B.Sc., MSc, MD) or equivalent.
  • 0-2 years of experience in the pharmaceutical industry, preferably with exposure to clinical trial data exploration and visualization.
  • A solid understanding of clinical research, GCP, and data flow. - Basic knowledge of statistical methods and experience with reporting or publishing clinical/scientific data.
  • Proficiency in computer systems and IT, with exposure to SAS JMP programming.
  • Strong analytical skills, a quality mindset, and the ability to work independently with statistical monitoring and IT tools.
  • Experience working in a regulated industry and familiarity with GxP and drug development guidelines. - A team-oriented personality with cross-cultural awareness and flexibility. - A proactive approach to learning and adapting to new situations in a dynamic environment.

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