ARPA-H Healthcare AI Agent Engineer / Scientist
@ ECS

Hybrid
Hybrid
Full-time
Posted 11 days ago

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XXXXXXXXX XXXXXXXXXXXXX XXXXXXXX****** @ecstech.com
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Job Details

Overview

ECS is seeking a Senior Healthcare AI Agent Engineer/Scientist to support ARPA-H. This remote SETA role involves supporting a government funded R&D program focused on breakthrough AI applications in healthcare.

Responsibilities

  • Develop breakthrough Generative and Agentic AI solutions for disease management.
  • Provide clinical AI subject matter expertise and technical support.
  • Evaluate technical proposals and provide detailed feedback.
  • Conduct market, regulatory analysis and literature reviews.
  • Produce technical and programmatic documentation on tight timelines.

Qualifications

  • PhD preferred, MS/BA with relevant experience acceptable.
  • Experience in health care application development using EHR data.
  • Expertise in Generative AI, Agentic AI, and medical Large Language Models.
  • Understanding of FDA, CMS regulation and market analysis.
  • Strong communication, writing and team collaboration skills.

Benefits & Compensation

Salary range: $140,000 - $200,000. For more details, please visit our Benefits page.

Key skills/competency

Senior Healthcare AI Agent Engineer/Scientist, Generative AI, Agentic AI, Clinical AI, EHR, Medical LLM, Regulatory, R&D, Technical Documentation, Data Science

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How to Get Hired at ECS

🎯 Tips for Getting Hired

  • Research ECS's culture: Study their mission and recent projects.
  • Customize your resume: Highlight healthcare AI and research.
  • Focus on technical skills: Emphasize generative AI experience.
  • Prepare case studies: Demonstrate past relevant achievements.

📝 Interview Preparation Advice

Technical Preparation

Review generative AI algorithm implementations.
Study medical LLM technical papers.
Practice EHR data integration challenges.
Examine regulatory guidelines and compliance protocols.

Behavioral Questions

Describe teamwork in high-pressure environments.
Explain communication with cross-functional teams.
Discuss handling tight deadlines effectively.
Share experiences managing complex research projects.

Frequently Asked Questions