Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

As a Staff AI Scientist, you will lead AI projects, design deep learning models using multimodal data, and ensure regulatory compliance in healthcare AI products.

This role involves onboarding clients, solving scientific problems, guiding data analysis on the Tempus platform, and creating documentation. Requires expertise in biomedical datasets and programming.

The Machine Learning Scientist will develop AI frameworks for predictive modeling in oncology, collaborating with teams to enhance drug R&D efforts through advanced machine learning techniques and multimodal data integration.

As a Senior Quality Engineer, you will lead verification and validation of medical device systems, conduct risk assessments, and ensure regulatory compliance, particularly in relation to FDA and quality control standards while collaborating with cross-functional teams.

Lead marketing strategies for a healthcare technology company, focusing on branding, product positioning, and cross-functional collaboration to drive growth. Manage a high-performing team to enhance market impact and customer engagement.

The Director of Data & AI Partnerships is responsible for developing account strategies, cultivating partnerships with pharma/biotech clients, and driving revenue goals while ensuring delivery on strategic objectives.

The Director of Biostatistics leads a team in clinical research, developing statistical plans, collaborating across departments, and ensuring regulatory compliance.

The Data Scientist II will lead and execute health economic outcomes research projects, collaborate with stakeholders, and build analytical infrastructure while adhering to regulations.

The Area Vice President leads a regional team in the Life Sciences division, developing strategic sales plans, achieving revenue targets, and fostering client relationships within the biotech sector.

Lead design and development of Java/Spring and React applications for genomic variant identification and clinical reporting. Architect data models, APIs, and search strategies for large-scale variant data. Partner with scientific and clinical experts, drive technical direction, mentor engineers, troubleshoot production issues, and improve reliability, observability, and performance.