Senior Pharmaceutical Data Analyst

Placements24; Midrand; Hybrid; ZAR 540,000 - 780,000; Full time

Benefits offered by this job

Fully remote work arrangement

Flexible hours

Health insurance

Job summary

Placements24 is seeking a Senior Pharmaceutical Data Analyst to join a remote-first team in South Africa. You will extract, analyze, and interpret complex datasets from drug development, clinical trials, and market trends to influence strategy, pipelines, and commercialization.

The role requires 5+ years in pharma/biotech data analysis, proficiency in R or Python and SQL, and experience with Tableau/Power BI.

Qualifications

• Bachelor's or Master's in Statistics, Data Science, Bioinformatics, or related field.
• Minimum of 5 years of data analysis experience in the pharmaceutical/biotech industry.
• Proficiency in R or Python, and SQL for data extraction.
• Experience with data visualization tools like Tableau or Power BI.

Responsibilities

• Develop data models and analytical frameworks to identify trends in pharmaceutical data.
• Collaborate with R&D, clinical ops, and marketing to define data requirements and deliver reports.
• Perform statistical analysis on clinical trial data to assess efficacy, safety, and outcomes.
• Use visualization tools to present findings to technical and non-technical stakeholders.
• Ensure data integrity with robust validation processes and best practices.
• Mentor junior analysts and contribute to methodological improvements.

Skills

R

Python

Statistical analysis

Data visualization

Data wrangling

Remote collaboration

Education

Bachelor's degree in Statistics, Data Science or related field

Tools

Tableau

Power BI

SQL

Jupyter

Job description

About the Role

Our client is seeking a highly analytical and experienced Senior Pharmaceutical Data Analyst to join their dynamic team. This is a fully remote position, offering the flexibility to work from anywhere within South Africa. You will play a critical role in extracting, analyzing, and interpreting complex datasets related to drug development, clinical trials, and market trends. Your insights will directly influence strategic decisions, product development pipelines, and commercialization efforts within the pharmaceutical sector. We are looking for a proactive individual who can translate raw data into actionable business intelligence, driving innovation and efficiency in a remote-first environment.

Key Responsibilities

• Develop and implement sophisticated data models and analytical frameworks to identify key trends and insights within pharmaceutical data.
• Collaborate with cross-functional teams, including R&D, clinical operations, and marketing, to define data requirements and deliver impactful reports.
• Perform statistical analysis on clinical trial data to assess drug efficacy, safety, and patient outcomes, providing clear summaries and recommendations.
• Utilize advanced data visualization tools to present complex findings to both technical and non-technical stakeholders.
• Ensure data integrity and accuracy by implementing robust data validation processes and adhering to industry best practices.
• Mentor junior analysts and contribute to the continuous improvement of data analysis methodologies and tools used by the team.

Requirements

• Bachelor's or Master's degree in Statistics, Data Science, Bioinformatics, or a related quantitative field.
• Minimum of 5 years of experience in data analysis within the pharmaceutical or biotechnology industry.
• Proficiency in statistical programming languages such as R or Python, and experience with SQL for data extraction.
• Demonstrated experience with data visualization tools like Tableau, Power BI, or similar platforms.
• Strong understanding of pharmaceutical research and development processes, including clinical trial phases and regulatory requirements.
• Excellent communication and presentation skills, with the ability to convey complex information clearly and concisely in a remote setting.

Benefits

• Competitive annual salary with performance-based bonuses.
• Fully remote work arrangement with flexible hours.
• Comprehensive health insurance plan.
• Opportunities for professional development and continuing education in data science and pharmaceuticals.
• Access to cutting-edge data analytics tools and platforms.
• A supportive and collaborative virtual team environment fostering growth and innovation.