Remote Pharmaceutical Data Scientist – Predictive Modeling

Placements24; Richards Bay; Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Fully remote

Comprehensive health insurance

Paid time off

Learning & development

Job summary

Placements24 is seeking a skilled Remote Pharmaceutical Data Scientist to join our innovative team. In this fully remote role, you will extract insights from complex pharmaceutical datasets, using advanced statistical modeling, ML, and visualization to drive decisions across R&D and commercial operations.

You will collaborate with scientists and business teams, design analyses, develop predictive models, and help maintain data infrastructure.

Qualifications

• 5+ years of Data Science experience in pharma/healthcare.
• Proficient in Python or R and ML libraries.
• Experience with Tableau or Power BI and SQL.
• Strong remote collaboration and communication skills.

Responsibilities

• Develop predictive models and ML algorithms for large pharma datasets.
• Perform statistical analyses of drug efficacy, safety, and market data.
• Create data visualizations and reports for technical and non-technical audiences.
• Collaborate with researchers and commercial teams to define analyses.
• Contribute to data infrastructure and analytical tool development.
• Stay updated on data science advances in pharma.

Skills

Python

R

SQL

Machine Learning

Statistical Modeling

Data Visualization

Remote Collaboration

Education

Master's or Ph.D. in Data Science, Statistics, Computer Science, Bioinformatics, or a related quantitative field

Tools

scikit-learn

TensorFlow

PyTorch

Tableau

Power BI

Job description

Placements24 is seeking a skilled Remote Pharmaceutical Data Scientist to join our innovative team. In this fully remote role, you will extract insights from complex pharmaceutical datasets, using advanced statistical modeling, ML, and visualization to drive decisions across R&D and commercial operations.

You will collaborate with scientists and business teams, design analyses, develop predictive models, and help maintain data infrastructure.