Top Healthtech Data Science Jobs in San Francisco, CA

As a Staff Data Scientist, you'll analyze and enhance search and ranking systems for mental health provider matching, collaborating with cross-functional teams to improve patient access to care.

The Senior/Staff Data Scientist will analyze healthcare data to derive insights, support internal teams with analytics, and lead data function standards and processes.

The Scientist II will carry out complex research projects, executing data analyses and communicating scientific findings for biopharmaceutical clients using the Tempus data platform.

The Senior Data Scientist will design and execute experiments to inform patient care and company growth, mentoring teammates and implementing statistical rigor.

The Data Scientist II role involves analyzing healthcare data, developing models, and delivering insights to support decision-making in a dynamic organization, while leveraging advanced technologies like LLMs and data visualization tools.

Seeking a Senior Data Scientist to leverage AI and machine learning in healthcare datasets. Responsibilities include developing algorithms, leading projects, and mentoring juniors while collaborating with technical and business teams.

The Associate Principal Statistical Analyst will oversee statistical programming for oncology clinical trials, mentor others, ensure compliance with standards, and deliver analyses for regulatory submissions.

The Data Scientist III will develop AI models for digital pathology, analyze data, collaborate with teams, and communicate findings. Requires a PhD and 5+ years experience.

The Principal Data Scientist analyzes real-world data to develop machine learning models, leads studies, and collaborates with various teams to optimize devices in diabetes care.

The Data Scientist will build models for interpreting medical records, optimize scheduling, analyze customer interactions, and improve user experiences using data insights.