Top Pharmaceutical Data Science Jobs

The Data Scientist II at Cencora will analyze large datasets, design experiments, and collaborate with stakeholders to derive meaningful insights for decision-making.

The role involves developing computational methods and workflows to analyze high-throughput sequencing data, support R&D projects on nucleic acids, and manage databases. It requires strong programming skills, experience in bioinformatics, and collaboration with experimental scientists.

The Director of Data Science will oversee data analytics and data science functions, mentor teams, improve processes, maintain technology roadmaps, and manage vendor relationships in the healthcare sector.

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

As a Senior Data Scientist, you will design advanced models and algorithms, analyze data, deploy machine learning models, and collaborate across teams for strategic insights.

As a Data Science Specialist, design, develop, and deploy predictive models and collaborate with clinical experts to enhance revenue cycle outcomes using advanced data science techniques.

The internship involves collaborating with the audit team on data analytics and Gen AI, developing analytics models, conducting data cleansing, and working on data visualization to improve audit processes.

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.

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

Lead data science team to discover new oncology drug targets using advanced analytics and machine learning, collaborate with cross-functional teams, and present findings at scientific venues.