Top Healthtech Data Science Jobs in San Francisco, CA

The Senior Director will lead a team in data science, focusing on analytics and visualization for drug development, ensuring compliance and strategic execution. Responsibilities include statistical modeling, collaboration with various scientific teams, and developing predictive models.

The role involves developing data models, building data engineering systems, unifying healthcare datasets, and collaborating with various teams to create analytical solutions.

As a Data Scientist, you'll design AI solutions for health behaviors, applying NLP to clinical data, building evaluation pipelines, and developing generative AI applications while collaborating with cross-functional teams.

As a Senior Data Scientist, you'll lead projects leveraging data to enhance healthcare outcomes, mentor team members, and align data efforts with business goals.

The Senior Bioinformatics Engineer will develop and maintain bioinformatics pipelines, architect AWS infrastructure, analyze data insights, and contribute to regulatory documentation.

This role involves analyzing EHR and insurance claims data to define clinical outcomes, developing AI models, and collaborating with technical experts for manuscript preparation.

The Senior Data Scientist will manage data collection, design study protocols, train juniors, lead report development, and support innovative analytics tools.

The Research Intern will assist in data curation, exploratory analysis, and implementation of machine learning models in healthcare applications.

The Director of Data Science will lead data science strategy, develop teams, and ensure ML systems meet clinical needs in healthcare.

As a Data Science Intern, you will analyze datasets, build predictive models, design experiments, and communicate insights to stakeholders while collaborating with cross-functional teams.