Generative AI Advisor

Qualifications

• The ideal candidate will possess a PhD in Computer Engineering, Computer Science, or a related field, with 20 years of professional experience and 10 years of experience in NLP, LLMs, and machine learning within the healthcare ecosystem
• PhD in Computer Engineering, Computer Science, or related engineering/scientific field
• 20 years professional experience
• 10 years minimum experience in NLP, LLMs, and machine learning within the healthcare ecosystem
• Three years or more experience within a Federal ARPA organization
• Two years or more experience in Federal Healthcare and/or Scientific Consulting

Benefits

• The company offers a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities
• Final salary determination based on skill-set, qualifications, and approved funding

Responsibilities

• The successful candidate will serve as a scientific and technical advisor to ARPA-H, providing thought leadership to R&D performer teams, Government Program Managers, and stakeholders across the health innovation ecosystem
• Lead the ideation / conceptualization, overall strategy and oversight of multiple programs utilizing large language models for a variety of healthcare applications
• Utilize expertise in NLP/LLM neural networks, training methods, addresses bias) knowledge and skills to assist ARPA-H shape future programs and manage the delivery of multiple disparate performer team
• Analyze and interpret complex healthcare data using AI/ML methods
• Ideate and establish initiatives to enhance diagnosis, risk assessment, and drug discovery
• Utilize healthcare knowledge and machine learning methods to identify patterns and insights from vast datasets of medical records, genomics information, and wearable device data
• Stay current with scientific advancements and actively track and analyze new research findings in this field
• Identify and propose emerging methodologies and technologies that could enhance the program's progress
• Participate in scientific discussions and presentations, contributing expertise to the program's overall knowledge base
• Collaborate effectively within a diverse team and build strong relationships with computational scientists, engineers, and other scientific advisors involved in the program

Full Description

Summary

Career Opportunity at Chenega Enterprise Systems & Solutions, LLC: Generative AI Advisor for Advanced Research Projects Agency (ARPA) Advanced Research Projects Agency For Health (ARPA-H)

This role is ideal for a seasoned expert in natural language processing (NLP), large language models (LLMs), and machine learning within the healthcare ecosystem. The successful candidate will serve asa scientific and technical advisor to ARPA-H, providing thought leadership to R&D performer teams, Government Program Managers, and stakeholders across the health innovation ecosystem.

The ideal candidate will possess a PhD in Computer Engineering, Computer Science, or a related field, with 20 years of professional experience and 10 years of experience in NLP, LLMs, and machine learning within the healthcare ecosystem.

Responsibilities:

• Lead the ideation / conceptualization, overall strategy and oversight of multiple programs utilizing large language models for a variety of healthcare applications.

• Utilize expertise in NLP/LLM neural networks, training methods, addresses bias) knowledge and skills to assist ARPA-H shape future programs and manage the delivery of multiple disparate performer team.

• Analyze and interpret complex healthcare data using AI/ML methods.

• Ideate and establish initiatives to enhance diagnosis, risk assessment, and drug discovery.

• Utilize healthcare knowledge and machine learning methods to identify patterns and insights from vast datasets of medical records, genomics information, and wearable device data.

• Stay current with scientific advancements and actively track and analyze new research findings in this field.

• Identify and propose emerging methodologies and technologies that could enhance the program's progress.

• Participate in scientific discussions and presentations, contributing expertise to the program's overall knowledge base.

• Collaborate effectively within a diverse team and build strong relationships with computational scientists, engineers, and other scientific advisors involved in the program.

Qualifications:

• PhD in Computer Engineering, Computer Science, or related engineering/scientific field.

• 20 years professional experience.

• 10 years minimum experience in NLP, LLMs, and machine learning within the healthcare ecosystem.

• Three years or more experience within a Federal ARPA organization.

• Two years or more experience in Federal Healthcare and/or Scientific Consulting.

The company offers a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. Final salary determination based on skill-set, qualifications, and approved funding.