Clinical Data Analyst

Responsibilities:

Analyze and interpret clinical data to extract meaningful insights and support evidencebased decisionmaking.

Collaborate with healthcare professionals and researchers to design data collection protocols and ensure data quality.

Develop and maintain databases ensuring accuracy completeness and compliance with data protection regulations.

Implement statistical methods to analyze clinical data identifying trends patterns and potential areas for improvement.

Prepare clear and concise reports and visualizations to communicate findings to internal stakeholders and regulatory bodies.

Stay informed about advancements in data analysis techniques healthcare regulations and industry best practices.

Participate in multidisciplinary teams to contribute datadriven perspectives to clinical research projects.

Ensure compliance with ethical standards and data privacy regulations in all data related activities.

Requirements:

Possess a bachelors degree in Statistics Data Science Health Informatics or a related field; a masters degree is preferred.

Accumulate a commendable 3 years of experience as a Clinical Data Analyst demonstrating proficiency in healthcare data analysis.

Strong knowledge of clinical research processes data collection methods and regulatory requirements.

Proficient in statistical analysis tools and programming languages (e.g. SAS R Python).

Excellent attention to detail accuracy and the ability to manage and analyze large datasets.

Skills:

Clinical Data Analysis: Expertise in analyzing and interpreting clinical data to support decisionmaking.

Data Collection: Collaborative design of data collection protocols ensuring data quality.

Database Management: Development and maintenance of databases ensuring accuracy and compliance.

Statistical Analysis: Implementation of statistical methods to analyze clinical data and identify trends.

Reporting: Preparation of clear and concise reports and visualizations for internal stakeholders and regulatory bodies.

Continuous Learning: Stay informed about advancements in data analysis techniques healthcare regulations and industry best practices.

Interdisciplinary Collaboration: Participation in multidisciplinary teams to contribute datadriven perspectives to clinical research.

Preferred:

Masters degree in Statistics Data Science Health Informatics or a related field showcasing advanced expertise.

Certification in Clinical Data Management or a relevant field highlighting dedication to ongoing professional development.

Previous experience in contributing to the analysis of clinical trial data.

Active participation in relevant conferences workshops and professional development initiatives.