Top Pharmaceutical Data Science Jobs

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.

The Digital Solutions Summer Intern will analyze business processes, define metrics for digital applications, track adoption, create dashboards, and support reporting needs.

The Principal Scientist will apply expertise in human genetics and statistical genetics to support new medicine development, perform complex analyses, and collaborate with multidisciplinary teams to address scientific questions.

The role involves applying computational skills to analyze omics data, collaborate with scientists, and support clinical decisions through data integration.

The Principal Data Scientist will collaborate on analytical models, conduct data analyses, implement advanced analytics processes, and support data governance while enhancing analytical capabilities and fostering innovation.

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

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 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.