Remote Pharmaceutical Data Analyst - Real-World Evidence

Placements24; Queenstown; Remote; NZD 142,000 - 213,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Performance bonuses

Job summary

Placements24 is seeking a highly analytical Remote Pharmaceutical Data Analyst to generate Real-World Evidence (RWE) for product development, market access, and pharmacovigilance. The role focuses on large, diverse datasets and advanced analytics to inform strategic decisions.

This fully remote position supports teams across the pharmaceutical lifecycle, offering flexible work arrangements and opportunities to contribute to meaningful healthcare outcomes worldwide.

Qualifications

• Master's degree or PhD in Statistics, Biostatistics, Data Science, Epidemiology, Health Economics, or related quantitative field.
• Minimum of 4 years of data analysis experience in pharma, healthcare, or life sciences.
• Strong proficiency in R or Python.
• Experience with SQL and large datasets.
• Solid understanding of statistical modeling, regression, survival analysis, and machine learning techniques.
• Familiarity with Real-World Data sources and RWE generation principles.
• Excellent analytical, problem-solving, and communication skills.
• Proven ability to work independently and manage remote projects.

Responsibilities

• Collect, clean, transform, and manage large datasets from diverse sources (e.g., EHRs, claims data, patient registries).
• Apply statistical methods and data mining to identify trends, patterns, and correlations in pharmaceutical data.
• Develop analytical models to generate Real-World Evidence (RWE) supporting value and outcomes research.
• Create visualizations and reports to communicate findings to technical and non-technical audiences.
• Collaborate with epidemiologists, biostatisticians, and medical affairs to define approaches and interpret results.
• Ensure data integrity, accuracy, and privacy compliance (POPIA).
• Maintain documentation for data sources, processes, and methodologies.
• Stay current with advancements in data analytics, RWE methodologies, and pharma trends.
• Support design of real-world studies and HEOR projects.

Job description

About the Role

Our client, a forward-thinking pharmaceutical company focused on leveraging data to improve patient outcomes, is seeking a highly analytical and skilled Remote Pharmaceutical Data Analyst. This role is dedicated to the generation and analysis of Real-World Evidence (RWE) to support product development, market access, and pharmacovigilance activities. The Data Analyst will work with large, complex datasets from various sources, applying advanced statistical and analytical techniques to extract meaningful insights. This is a fully remote position, offering flexibility and the opportunity to contribute to critical healthcare initiatives from anywhere within South Africa. The role is essential in understanding product performance and patient journeys in real-world settings.

Key Responsibilities

Collect, clean, transform, and manage large datasets from diverse sources (e.g., electronic health records, claims data, patient registries). Apply statistical methods and data mining techniques to identify trends, patterns, and correlations in pharmaceutical data. Develop and implement analytical models to generate Real-World Evidence (RWE) supporting product value and outcomes research. Create insightful visualizations and reports to communicate findings to both technical and non-technical audiences. Collaborate with epidemiologists, biostatisticians, and medical affairs teams to define analytical approaches and interpret results. Ensure data integrity, accuracy, and compliance with privacy regulations (e.g., POPIA). Develop and maintain documentation for data sources, analytical processes, and methodologies. Stay current with advancements in data analytics, RWE methodologies, and pharmaceutical industry trends. Support the design of real-world studies and health economics and outcomes research (HEOR) projects.

Requirements

Master's degree or PhD in Statistics, Biostatistics, Data Science, Epidemiology, Health Economics, or a related quantitative field. Minimum of 4 years of experience in data analysis, preferably within the pharmaceutical, healthcare, or life sciences industry. Strong proficiency in statistical programming languages such as R or Python. Experience with database querying languages (e.g., SQL) and working with large datasets. Solid understanding of statistical modeling, regression analysis, survival analysis, and machine learning techniques. Familiarity with Real-World Data sources and RWE generation principles is highly desirable. Excellent analytical, problem-solving, and critical thinking skills. Strong communication and presentation skills, with the ability to explain complex data insights clearly. Proven ability to work independently and manage projects effectively in a remote setting.

Benefits

Our client offers a competitive salary and a comprehensive benefits package designed for remote work, including health insurance, a retirement savings plan, and performance-based bonuses. We provide excellent opportunities for professional development, online training, and support for relevant certifications. This is a fully remote role, allowing for significant flexibility in work location and schedule. Employees will enjoy a collaborative and supportive virtual team environment, focused on innovation and making a tangible impact on global health. Join our client and contribute your analytical expertise to advancing pharmaceutical research and improving patient care worldwide. We value diversity and encourage applications from all qualified individuals.