Data Analyst - Clinical Trials

Placements24; Pretoria; Hybrid; ZAR 480,000 - 720,000; Full time

Job summary

Placements24 is seeking a skilled Data Analyst focused on Clinical Trials to join its research division. This fully remote role allows you to manage and analyze complex trial data from Pretoria-based operations, supporting drug development and research validation.

You will generate insights, ensure data integrity, and collaborate with cross-functional teams in a virtual environment, contributing to our programs' success.

Qualifications

• Bachelor's or Master's in Statistics, Biostatistics, Bioinformatics, Data Science, or related field.
• Minimum of 3 years as a Data Analyst with focus on clinical trial data management/analysis.
• Proficiency in SAS, R, or Python for statistical analysis.

Responsibilities

• Collect, clean, and validate large clinical trial datasets to ensure accuracy and regulatory compliance.
• Perform statistical analysis to identify trends, efficacy, and safety signals using SAS/R/Python.
• Develop data dictionaries, data management plans, and SOPs for clinical data.
• Create reports, visualizations, and dashboards for project teams and regulatory bodies.
• Collaborate with clinical operations, biostatistics, and medical affairs to define data requirements and analytics strategies.
• Identify data anomalies and implement corrective actions to maintain data quality.

Skills

Data analysis

Statistical analysis

Remote collaboration

Data visualization

Education

Bachelor's or Master's in Statistics/BIo/DS

Master's degree preferred

Tools

SAS

R

Python

Tableau

Power BI

Job description

About the Role

Our client is looking for a skilled Data Analyst with a focus on Clinical Trials to join their innovative research division, operating remotely from Pretoria . This critical role involves managing, analyzing, and interpreting complex clinical trial data to support drug development and research validation. You will play a key part in ensuring data integrity, generating insights, and contributing to the overall success of our clinical research programs. This fully remote position requires a proactive individual with exceptional analytical abilities and a keen eye for detail, who can effectively collaborate with cross-functional teams in a virtual setting.

Key Responsibilities

• Collect, clean, and validate large datasets generated from clinical trials, ensuring accuracy and compliance with regulatory standards.
• Perform statistical analysis on clinical trial data using appropriate software (e.g., SAS, R, Python) to identify trends, efficacy, and safety signals.
• Develop and maintain data dictionaries, data management plans, and standard operating procedures (SOPs) for clinical data.
• Create clear and concise reports, visualizations, and dashboards to present findings to project teams, stakeholders, and regulatory bodies.
• Collaborate with clinical operations, biostatistics, and medical affairs teams to define data requirements and analytical strategies.
• Identify and investigate data anomalies, implementing corrective actions as needed to maintain data quality.

Requirements

• Bachelor's or Master's degree in Statistics, Biostatistics, Bioinformatics, Data Science, or a related quantitative field.
• Minimum of 3 years of experience as a Data Analyst, with a significant focus on clinical trial data management and analysis.
• Proficiency in statistical analysis software such as SAS , R, or Python.
• Strong understanding of clinical trial phases, data types, and regulatory requirements (e.g., ICH-GCP, FDA guidelines).
• Excellent data visualization skills and experience with tools like Tableau or Power BI.
• Proven ability to work independently and manage multiple projects effectively in a remote environment.

Benefits

• Competitive annual salary and performance-related bonuses.
• Comprehensive health, dental, and vision insurance.
• Flexible remote working arrangements enabling work-life balance.
• Opportunities for professional growth and development in a fast-paced research setting.
• Collaborative virtual environment with a focus on scientific advancement.