Visiting Faculty
Scale AI
Visiting Faculty
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 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.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Locations
- United States,
Salary
Salary details available upon request
60,000 - 120,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- NLPintermediate
- Multi-modal AIintermediate
- Large Language Models (LLMs)intermediate
- Computer Scienceintermediate
- Bioinformaticsintermediate
- Biostatisticsintermediate
- Biomedical Informaticsintermediate
- Strong communicationintermediate
- Collaborationintermediate
Required Qualifications
- A Ph.D. in Computer Science, Biostatistics, Biomedical Informatics, or a closely related quantitative field. (experience)
- 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. (experience)
- Strong communication and collaboration skills. (experience)
Responsibilities
- Develop Cutting Edge Research Program. Key Research Areas: 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.
- deep genomics.
- Collaboration: Engage in collaborative research and development with engineers at Scale AI.
Tags & Categories
Answer 10 quick questions to check your fit for Visiting Faculty @ Scale AI.
Related Books and Jobs
Visiting Faculty
Scale AI
Visiting Faculty
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 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.
About Us:
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's Know Your Rights poster for additional information.
We comply with the United States Department of Labor's Pay Transparency provision.
PLEASE NOTE: We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
Locations
- United States,
Salary
Salary details available upon request
60,000 - 120,000 USD / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine Learningintermediate
- NLPintermediate
- Multi-modal AIintermediate
- Large Language Models (LLMs)intermediate
- Computer Scienceintermediate
- Bioinformaticsintermediate
- Biostatisticsintermediate
- Biomedical Informaticsintermediate
- Strong communicationintermediate
- Collaborationintermediate
Required Qualifications
- A Ph.D. in Computer Science, Biostatistics, Biomedical Informatics, or a closely related quantitative field. (experience)
- 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. (experience)
- Strong communication and collaboration skills. (experience)
Responsibilities
- Develop Cutting Edge Research Program. Key Research Areas: 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.
- deep genomics.
- Collaboration: Engage in collaborative research and development with engineers at Scale AI.
Tags & Categories
Answer 10 quick questions to check your fit for Visiting Faculty @ Scale AI.
Related Books and Jobs