Top Pharmaceutical Data Science Jobs

The Associate Director leads Real-World Data Science efforts, focusing on health economics research and data analysis using traditional and AI/ML methodologies. Responsibilities include collaboration, project management, and ensuring compliance with best practices.

The Senior Director will lead the AI and technology strategy for global pharmaceutical manufacturing, optimizing operations and driving innovation through data science.

The Data Scientist will develop ML models, implement AI agents, and automate workflows, leveraging strong skills in data handling, NLP, and MLOps.

As a Data Scientist, you will develop and validate models to solve complex challenges, collaborate across functions, and communicate insights effectively.

The Principal Data Scientist will develop predictive models for commercial analytics, integrating data from Salesforce and external sources, enhancing insight and forecasting for TAVR.

The Lead Data Scientist will apply AI/ML analytics to improve decision-making and drive business improvement in the supply chain. Responsibilities include collaborating with teams, deploying AI solutions, and communicating insights effectively.

Lead the Oncology Data Science team in developing data-driven solutions for low molecular weight drug development, leveraging AI and machine learning. Collaborate with stakeholders to execute data science strategies and ensure adherence to best practices in analytics.

The Senior Data Scientist will lead AI solutions for healthcare, developing ML models, mentoring teams, and shaping AI strategies to improve patient outcomes.

The role involves analyzing genetic and phenotype data, developing statistical tools, and collaborating to connect genetic variation with human diseases.

The Clinical Modeling & Analytics Innovation Scientist develops models using AI/ML and advanced analytics to optimize clinical trials and improve patient recruitment and retention.