Top Biotech Data Science Jobs in San Diego, CA

The Bioinformatics Scientist 2 designs and executes computational workflows for genomic data, develops bioinformatics pipelines, collaborates with scientists, and implements software engineering best practices.

The Senior Data Scientist will leverage data and AI for financial insights, build data pipelines, predictive models, and dashboards, partnering with Finance teams to improve forecasting and fiscal strategy.

The Senior Manager R&D Data Modeler is responsible for designing and evolving enterprise data models to support scalable analytics and AI, ensuring regulatory compliance and collaboration across multiple domains.

The Data Scientist will develop analytics solutions, translate biological data into insights, and collaborate on research to support drug discovery efforts.

The Director, Genomics Data will lead genomic data R&D, managing a team to advance data analysis, platform design, and commercialization efforts.

The Data Scientist role involves analyzing complex datasets, developing machine learning models, collaborating with cross-functional teams, and contributing to data strategies for improving cancer care.

The Bioinformatics Intern will analyze large omics datasets, develop computational models, apply machine learning for precision medicine, and optimize bioinformatics workflows.

The Senior Director will establish the RWD&A group, lead strategy and execution of projects, mentor a high-performing analytics team, and provide insights for oncology advanced analytics.

Lead teams in applying statistical genetics to identify and validate drug targets, collaborate with varied data scientists and stakeholders, develop project plans, and utilize diverse datasets for drug discovery.