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Scale AI invites applications for a Visiting Faculty position with expertise in Machine Learning in the Healthcare Domain. The ideal candidate will have a strong background in Computer Science, Bioinformatics, or a closely related field, and a proven track record of innovative research in Machine Learning and its Applications in Healthcare Domain.
Job Responsibility:
Develop Cutting Edge Research Program
Key Research Areas: Research interests should ideally align with areas such as: Utilizing Electronic Health Records (EHRs) and non-clinical data (e.g., social media) for modeling and predicting health behaviors and outcomes
Natural Language Processing (NLP), Multi-modal AI, and Large Language Models (LLMs) for processing patient data, understanding clinical outcomes, and ensuring safety, helpfulness and factuality in medical chatbots
Developing prediction models for clinical issues (e.g., anti-cancer medication discontinuation, velopharyngeal dysfunction, breast cancer)
Addressing issues of bias and fairness in AI within healthcare
and deep genomics
Collaboration: Engage in collaborative research and development with engineers at Scale AI
Requirements:
A Ph.D. in Computer Science, Biostatistics, Biomedical Informatics, or a closely related quantitative field
Demonstrated excellence in research with a focus on Machine Learning and NLP applications in Healthcare, evidenced by high-impact publications and/or significant grant funding