CDE, Data Reporting & Analytics Lead

ICON plc

5 - 10 years

11 - 15 Lacs

chennai bengaluru thiruvananthapuram

Posted:-1 days ago| Platform:

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Skills Required

computer science data analysis assurance manager quality assurance data management clinical trials clinical research healthcare python clinical data

Work Mode

Work from Office

Job Type

Full Time

Job Description

Leading the design, development, and validation of data science programming solutions to support clinical trials, including data integration, statistical analysis, and reporting.
Managing and mentoring a team of clinical data programmers, providing guidance and ensuring adherence to programming standards and best practices.
Collaborating with clinical research teams and stakeholders to define data requirements, develop programming specifications, and implement data science methodologies.
Overseeing data quality assurance processes, including data validation and verification, to ensure the accuracy and completeness of clinical trial data.
Utilizing advanced statistical techniques and data visualization tools to analyze complex data sets and generate actionable insights for clinical research.
Staying current with industry trends and advancements in data science and clinical research, and recommending innovative solutions to enhance data analysis and reporting.

Your Profile:

Degree in Data Science, Statistics, Computer Science, or a related field; advanced certifications in data programming or clinical data science are advantageous.
Extensive experience in clinical data programming, with a strong background in statistical analysis, data management, and programming languages such as SAS, R, or Python.
Proven ability to lead and manage programming teams, and develop data science solutions that support clinical research objectives.
Strong analytical skills, with experience in designing and implementing complex data analysis and visualization techniques.
Excellent communication and leadership skills, with the ability to collaborate effectively with cross-functional teams and present data insights to stakeholders.

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