Top Data Science Jobs in San Francisco, CA

The Bioengineering Scientist will lead research activities focused on fermentation and process development. Responsibilities include developing production processes, supervising research staff, and performing DNA engineering activities. A PhD in life sciences and a strong publication record are required.

The Research Scientist will investigate fundamental questions of intelligence and knowledge to develop software with human-level intelligence. Responsibilities include creating research questions, coordinating experiments, and mentoring research engineers, while collaborating with internal and external teams.

The Senior Scientist will lead analytical development for AAV gene therapy and manage quality control activities including assay development, regulatory documentation, and cross-functional collaboration. They will mentor team members and drive continuous improvement initiatives while adhering to industry standards and regulations.

The Discovery Project Scientist will identify and validate innovative biological topics, prototype computational and experimental tools, and drive technological adoption. Responsibilities include executing 4-5 pilots annually, optimizing project outcomes, collaborating on new ideas, and publishing findings. The role requires computational fluency and strong project management skills.

As a Director of Data Science, you will lead and expand the Data Science team, focusing on driving data-driven insights through statistical analyses and collaboration with various departments. Your role involves building high-quality dashboards, defining KPIs, and advising on field experiments to support strategic decisions across the organization.

The Data Scientist will develop and manage dashboards to provide insights into Cargomatic's financial performance, conduct financial data analyses, and collaborate with different teams to support decision-making. Responsibilities include dashboard development, data analysis, cross-functional collaboration, and predictive modeling.

As a Senior Research Scientist, you will lead AI/ML research initiatives, develop key prediction algorithms, and collaborate with cross-functional teams to transition research into products. You'll oversee grant-funded projects, write applications, and adapt to changing priorities while mentoring other team members.