Data Scientist

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.

Responsibilities:
• Create, implement, and support AI- and ML-driven workflows that improve clinical, research, and administrative processes.
• Partner with cross-functional stakeholders to define analytical needs and deliver data science solutions aligned with healthcare use cases.
• Assess and refine tools, platforms, and methods used to manage model development, deployment, and ongoing lifecycle activities.
• Train, test, and validate internally developed or externally sourced machine learning models using hospital data and established quality controls.
• Perform bias reviews and model performance checks to help ensure responsible and reliable use of predictive algorithms.
• Analyze large-scale healthcare datasets using Python, R, SQL, and cloud-based or distributed computing environments.
• Work alongside clinicians and researchers to adapt analytical methods for real-world use in care delivery and related settings.

Qualifications:

• PhD or master's degree in statistics, informatics, data science, or a closely related quantitative field.
• For candidates with a master's degree, at least 4 years of relevant experience applying data science methods to business, research, or healthcare problems.
• Demonstrated experience building, evaluating, and implementing machine learning models in applied environments.
• Proficiency in Python or R, with the ability to process and analyze large datasets using SQL and cloud technologies.
• Strong grounding in statistics, machine learning, and artificial intelligence concepts at the graduate level.
• Experience collaborating with clinicians, researchers, or other cross-functional subject matter experts on complex analytical initiatives.
• Solid communication, prioritization, and problem-solving skills, with the ability to manage multiple deliverables effectively.

Compensation

$95.00-$100.00 Hourly

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