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.
Responsibilities
- 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.
Required Qualifications
- 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.
- Strong communication and collaboration skills.
PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
