Top Pharmaceutical Data Science Jobs

As a Data Scientist II at Chewy, you will drive impactful data solutions, collaborate with teams, and communicate insights to improve customer care.

The Data Scientist Intern will support analytics by applying machine learning techniques, developing predictive models, and translating data insights into actionable recommendations during the internship period.

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.

Lead advanced analytics and decision modeling for clinical operations; collaborate with leadership to enhance R&D effectiveness through data-driven insights.

Lead and innovate predictive analytics initiatives on genomic and proteomic data. Collaborate across teams, develop predictive models, and ensure data quality and consistency.

The Senior Manager of Predictive Analytics will develop predictive models for proteomic and genomic data, collaborate with teams, and present findings while managing large-scale analyses.

The Senior Manager of Predictive Analytics will develop predictive models for clinical genomics, collaborate with teams, and present findings. Responsibilities include data analysis, project management, and ensuring data quality.

As a Data Scientist, manage campaign portfolios using machine learning and statistical techniques to reduce healthcare readmissions, delivering insights and solutions through data analysis and visualization.

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

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

The Principal Scientist will develop data infrastructure and analytical pipelines to enhance molecule discovery, collaborating with teams to translate scientific needs into technical solutions.

The Senior Biostatistician provides statistical leadership for clinical studies, collaborates on study design, analysis, and reporting, and supports regulatory submissions.