Visiting Faculty

ScaleUnited Statesfull_timestaff

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Tech Stack

Machine Learning Natural Language Processing Multi-Modal AI Large Language Models Prediction Models

Responsibilities

Develop Cutting Edge Research Program focusing on Machine Learning in Healthcare.
Research interests should align with areas such as utilizing Electronic Health Records (EHRs) and non-clinical data for modeling health behaviors and outcomes.
Research interests should align with Natural Language Processing (NLP), Multi-modal AI, and Large Language Models (LLMs) for processing patient data and understanding clinical outcomes.
Research interests should align with developing prediction models for clinical issues and addressing bias and fairness in AI within healthcare.
Engage in collaborative research and development with engineers at Scale AI.

Soft Skills

HealthcareComputer ScienceBioinformaticsResearchElectronic Health RecordsBias And Fairness In AI

Benefits

Health Insurance

Culture

Inclusive HiringPay Transparency

Requirements

Required: Ph.D. in Computer Science, Biostatistics, Biomedical Informatics, or a closely related quantitative field

About Scale

Industry: ai

Size: large

Scale AI develops reliable AI systems by providing high-quality data and full-stack technologies that power leading models, helping enterprises and governments build, deploy, and oversee impactful AI applications. They work with industry leaders and government agencies to accelerate AI development.

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