Top Data Science Jobs

The Associate Scientist will be responsible for developing and validating optogenetic gene therapy vectors, executing assays for discovery and translational research, and supporting preclinical and clinical assays. They must have a minimum of 6-8 years of relevant experience in molecular biology and microbiology techniques.

The Data Scientist will analyze complex data sets and develop predictive models while leveraging generative AI to provide data-driven insights for business decisions. Responsibilities include collaborating with cross-functional teams, communicating findings, and ensuring data quality and accuracy.

Cypress Financial seeks a Data Scientist to analyze data for decision-making within lead acquisition and marketing functions. The role involves developing scoring models, reporting, and advanced analytics to improve product strategies and marketing efficiency. Strong skills in Power BI, SQL, and Azure ML are required.

The Principal Scientist, DMPK will lead DMPK activities, oversee external ADME/PK studies, prepare GLP/non-GLP documents, assist in establishing research systems, and represent the project team to ensure successful lead optimization and candidate selection in drug development.

The Sr. Principal Data Scientist at Northrop Grumman is responsible for creating data mining architectures, statistical reporting, and data analysis methodologies to identify trends in large datasets. This role requires strong statistical skills, familiarity with data science toolkits, and deep learning frameworks to provide insights for business challenges.

As a Sr. Data Scientist, you will lead the development of advanced scoring and indexing models for predicting business outcomes, collaborate with teams to integrate solutions, conduct data analysis, and ensure the accuracy of models while communicating insights to stakeholders.

As a Data Scientist, you will employ advanced data science techniques to solve complex business challenges, develop scalable data systems, extract insights from large datasets, create data pipelines and visuals, and collaborate with cross-functional teams to inform strategic decisions.