Remote Pharma Data Analyst for Drug Development Insights

Placements24; Queenstown; Hybrid; NZD 80,000 - 120,000; Full time

Benefits offered by this job

Health benefits

Generous paid time off

Remote work flexibility

Learning & development opportunities

Job summary

Placements24 seeks a highly analytical Remote Pharmaceutical Data Analyst to collect, clean, and analyze large datasets spanning clinical trials, safety, and market trends. You will generate insightful reports and dashboards, supporting drug development, clinical trial design, and regulatory insights.

Collaboration with cross-functional teams is essential. The role requires proficiency in statistical methods, R/Python/SAS, SQL, and data visualization tools, along with the ability to work

Qualifications

• Degree in quantitative field; Master’s preferred.
• 3–5 years data analysis experience in pharma/healthcare ideal.
• Proficiency with statistics software and SQL.
• Experience with data visualization tools.

Responsibilities

• Collect, clean, and organize large pharmaceutical datasets (clinical trials, post-market data, RWE).
• Perform statistical analysis to identify trends and correlations.
• Develop reports and dashboards to visualize findings for stakeholders.
• Interpret data to support drug development, trial design, safety monitoring, and market access.
• Collaborate with R&D, clinical ops, regulatory affairs to meet data needs.
• Ensure data integrity and privacy compliance.

Skills

Statistical analysis

R/Python/SAS

Data visualization

Communication

Education

Bachelor’s degree in Statistics/Data Science/Bioinformatics/Pharmacy

Master’s degree preferred

Tools

SQL

Tableau/Power BI

Excel

Job description

Placements24 seeks a highly analytical Remote Pharmaceutical Data Analyst to collect, clean, and analyze large datasets spanning clinical trials, safety, and market trends. You will generate insightful reports and dashboards, supporting drug development, clinical trial design, and regulatory insights.

Collaboration with cross-functional teams is essential. The role requires proficiency in statistical methods, R/Python/SAS, SQL, and data visualization tools, along with the ability to work