# Visiting Faculty

**Company**: Scale AI
**Location**: United States
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q112629176

**Apply**: https://job-boards.greenhouse.io/scaleai/jobs/4623605005
**Canonical**: https://yubhub.co/jobs/job_d301fe8d-333

## Description

Job Description:

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 programs that align with areas such as utilizing electronic health records and non-clinical data for modeling and predicting health behaviors and outcomes. Collaborate with engineers at Scale AI to engage in collaborative research and development. Address issues of bias and fairness in AI within healthcare.

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 that our policy requires a 90-day waiting period before reconsidering candidates for the same role.

About Us:

At Scale, our mission is to develop reliable AI systems for the world's most important decisions.

## Skills

### Required
- Machine Learning
- NLP
- Electronic Health Records
- Non-Clinical Data
- Bias and Fairness in AI