Pharmaceutical Data Scientist

About this role

Job Description
We are seeking a highly skilled
Data Scientist
to join our pharmaceutical analytics and digital innovation team. This role plays a key part in transforming scientific, clinical, manufacturing, and commercial data into actionable insights that accelerate drug development, optimize production processes, and improve patient outcomes.


The ideal candidate combines strong analytical expertise, solid experience working with complex datasets, and a deep understanding of pharmaceutical or life sciences environments.


Key Responsibilities
Data Analytics & Modeling

• Develop, validate, and deploy predictive and machine learning models to support R&D, clinical trials, manufacturing, and commercial operations.
• Analyze large and heterogeneous datasets (clinical, real-world data, lab data, manufacturing data, supply chain).
• Perform exploratory data analysis (EDA) and communicate insights to scientific and business stakeholders.
• Implement statistical modeling, hypothesis testing, and time-series forecasting as required.
• Build dashboards, reports, and visual insights to support decision-making.

Pharma-Specific Activities

• Support teams across R&D, clinical development, quality, manufacturing, and regulatory.
• Ensure compliance with GxP, data integrity, and internal data governance standards.
• Collaborate with SMEs, clinicians, biostatisticians, and lab scientists to interpret results.

Data Engineering & Infrastructure

• Work closely with data engineers to ensure high-quality, well-structured datasets.
• Develop automated pipelines for data ingestion, cleaning, transformation, and modeling.
• Leverage cloud platforms (AWS, Azure, GCP) for scalable model training and deployment.

Cross-functional Collaboration

• Communicate results to scientists, technical teams, and leadership.
• Contribute to the development of best practices in data science, documentation, and reproducibility.
• Support digital innovation initi...