We are looking for a Data Scientist to support AI and machine learning initiatives that advance patient care, research, and operational decision-making in Palo Alto, California. This is a Contract position focused on turning healthcare data into practical, high-impact solutions through model development, validation, and deployment. The role works closely with clinical, research, and operational partners to translate complex problems into scalable analytical approaches while maintaining strong standards for quality, fairness, and performance.<br><br>Responsibilities:<br>• Create, implement, and support AI- and ML-driven workflows that improve clinical, research, and administrative processes.<br>• Partner with cross-functional stakeholders to define analytical needs and deliver data science solutions aligned with healthcare use cases.<br>• Assess and refine tools, platforms, and methods used to manage model development, deployment, and ongoing lifecycle activities.<br>• Train, test, and validate internally developed or externally sourced machine learning models using hospital data and established quality controls.<br>• Perform bias reviews and model performance checks to help ensure responsible and reliable use of predictive algorithms.<br>• Analyze large-scale healthcare datasets using Python, R, SQL, and cloud-based or distributed computing environments.<br>• Work alongside clinicians and researchers to adapt analytical methods for real-world use in care delivery and related settings.
<p>Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale.</p><p><br></p><p>You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment.</p><p><br></p><p>Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.</p>